From 21c84a0a962ce9f6bde3ec6ba5680da77cf09f85 Mon Sep 17 00:00:00 2001 From: aarne Date: Fri, 27 Jun 2008 11:27:40 +0000 Subject: [PATCH] rm old tutorials --- doc/tutorial-next/Food.gf | 14 - doc/tutorial-next/FoodEng.gf | 23 - doc/tutorial-next/FoodIta.gf | 22 - doc/tutorial-next/Foodmarket.png | Bin 2971 -> 0 bytes doc/tutorial-next/Makefile | 6 - doc/tutorial-next/StringOper.gf | 10 - doc/tutorial-next/Tree2.png | Bin 1717 -> 0 bytes doc/tutorial-next/food.cf | 15 - doc/tutorial/DocGF.tex | 489 -- doc/tutorial/FORMULAone.tex | 4 - doc/tutorial/Food2Eng.gf | 23 - doc/tutorial/Foodmarket.gf | 5 - doc/tutorial/Foodmarket.png | Bin 1353 -> 0 bytes doc/tutorial/FoodmarketEng.gf | 5 - doc/tutorial/Fruit.gf | 4 - doc/tutorial/FruitEng.gf | 5 - doc/tutorial/Makefile | 16 - doc/tutorial/Morefood.gf | 8 - doc/tutorial/MorefoodEng.gf | 7 - doc/tutorial/Multi.png | Bin 14399 -> 0 bytes doc/tutorial/Mushroom.gf | 4 - doc/tutorial/MushroomEng.gf | 5 - doc/tutorial/SETLENGTHS.tex | 4 - 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a/doc/tutorial-next/FoodEng.gf +++ /dev/null @@ -1,23 +0,0 @@ -concrete FoodEng of Food = { - - lincat - S, Item, Kind, Quality = {s : Str} ; - - lin - Is item quality = {s = item.s ++ "is" ++ quality.s} ; - This kind = {s = "this" ++ kind.s} ; - That kind = {s = "that" ++ kind.s} ; - QKind quality kind = {s = quality.s ++ kind.s} ; - Wine = {s = "wine"} ; - Cheese = {s = "cheese"} ; - Fish = {s = "fish"} ; - Very quality = {s = "very" ++ quality.s} ; - Fresh = {s = "fresh"} ; - Warm = {s = "warm"} ; - Italian = {s = "Italian"} ; - Expensive = {s = "expensive"} ; - Delicious = {s = "delicious"} ; - Boring = {s = "boring"} ; - -} - \ No newline at end of file diff --git a/doc/tutorial-next/FoodIta.gf b/doc/tutorial-next/FoodIta.gf deleted file mode 100644 index 5c565037a..000000000 --- a/doc/tutorial-next/FoodIta.gf +++ /dev/null @@ -1,22 +0,0 @@ -concrete FoodIta of Food = { - - lincat - S, Item, Kind, Quality = {s : Str} ; - - lin - Is item quality = {s = item.s ++ "è" ++ quality.s} ; 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zm${?;IpftckIR-O>;DSfl9;vl+X}^{6`oH|TwCn+b&fZ;p z5&)CyN*BOWrQH{Lt3;&#s{M{dLlh-0eTWd_TXR>v!hi6Mq6EG%oDt z68*N9ne|t0#n}+m7s7xw!Y`-F9_{+!u;>7nwDmUf%;>EDYozifiFQ^jv*>&|9q+Z&-Q#iiWxT}JA6`0}Z4Cg0wvT_|*Nk9%t+ zeXHmE!u|`lcP;qHAsP@SXqt8N;Way(Rc*!Eq5CG7t_kNR-zn_|? z)F;k6{q92Ef`jedwQqlYciVF5?ymE(buX@!Co|u&{j>Pfayvv|_w73K+WVq!GxOb+ zyt>n`pX}#~4h*j-m)w;tzcBhj{L$^=3%Ar(FUo&*_(JW|l8{L0vX)!FW{&?V3Ewr{dhWuKIex1omOftiY>C&!5T@CawOl8!UetXtC{L1otM=IhLJ9Lnb&a5dRG`FT;6&AWrI`**PHdd;$KL7UV6w<}H@ zse2iI3Wz|-i4*Lw%ghBbyW6W+Hq{@qHl8#xL$dFX$}}} &{\symb{\{}} &{\symb{\}}} \\ -{\symb{**}} &{\symb{,}} &{\symb{(}} \\ -{\symb{)}} &{\symb{[}} &{\symb{]}} \\ -{\symb{{$-$}}} &{\symb{.}} &{\symb{{$|$}}} \\ -{\symb{?}} &{\symb{{$<$}}} &{\symb{{$>$}}} \\ -{\symb{@}} &{\symb{!}} &{\symb{*}} \\ -{\symb{{$+$}}} &{\symb{{$+$}{$+$}}} &{\symb{$\backslash$}} \\ -{\symb{{$=$}{$>$}}} &{\symb{\_}} &{\symb{\$}} \\ -{\symb{/}} & & \\ -\end{tabular}\\ - -\subsection{Comments} -Single-line comments begin with {\symb{{$-$}{$-$}}}. \\Multiple-line comments are enclosed with {\symb{\{{$-$}}} and {\symb{{$-$}\}}}. - -\section{The syntactic structure of GF} -Non-terminals are enclosed between $\langle$ and $\rangle$. -The symbols {\arrow} (production), {\delimit} (union) -and {\emptyP} (empty rule) belong to the BNF notation. -All other symbols are terminals.\\ - -\begin{tabular}{lll} -{\nonterminal{Grammar}} & {\arrow} &{\nonterminal{ListModDef}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListModDef}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{ModDef}} {\nonterminal{ListModDef}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ModDef}} & {\arrow} &{\nonterminal{ModDef}} {\terminal{;}} \\ - & {\delimit} &{\nonterminal{ComplMod}} {\nonterminal{ModType}} {\terminal{{$=$}}} {\nonterminal{ModBody}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ModType}} & {\arrow} &{\terminal{abstract}} {\nonterminal{Ident}} \\ - & {\delimit} &{\terminal{resource}} {\nonterminal{Ident}} \\ - & {\delimit} &{\terminal{interface}} {\nonterminal{Ident}} \\ - & {\delimit} &{\terminal{concrete}} {\nonterminal{Ident}} {\terminal{of}} {\nonterminal{Ident}} \\ - & {\delimit} &{\terminal{instance}} {\nonterminal{Ident}} {\terminal{of}} {\nonterminal{Ident}} \\ - & {\delimit} &{\terminal{transfer}} {\nonterminal{Ident}} {\terminal{:}} {\nonterminal{Open}} {\terminal{{$-$}{$>$}}} {\nonterminal{Open}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ModBody}} & {\arrow} &{\nonterminal{Extend}} {\nonterminal{Opens}} {\terminal{\{}} {\nonterminal{ListTopDef}} {\terminal{\}}} \\ - & {\delimit} &{\nonterminal{ListIncluded}} \\ - & {\delimit} &{\nonterminal{Included}} {\terminal{with}} {\nonterminal{ListOpen}} \\ - & {\delimit} &{\nonterminal{Included}} {\terminal{with}} {\nonterminal{ListOpen}} {\terminal{**}} {\nonterminal{Opens}} {\terminal{\{}} {\nonterminal{ListTopDef}} {\terminal{\}}} \\ - & {\delimit} &{\nonterminal{ListIncluded}} {\terminal{**}} {\nonterminal{Included}} {\terminal{with}} {\nonterminal{ListOpen}} \\ - & {\delimit} &{\nonterminal{ListIncluded}} {\terminal{**}} {\nonterminal{Included}} {\terminal{with}} {\nonterminal{ListOpen}} {\terminal{**}} {\nonterminal{Opens}} {\terminal{\{}} {\nonterminal{ListTopDef}} {\terminal{\}}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListTopDef}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{TopDef}} {\nonterminal{ListTopDef}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Extend}} & {\arrow} &{\nonterminal{ListIncluded}} {\terminal{**}} \\ - & {\delimit} &{\emptyP} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListOpen}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{Open}} \\ - & {\delimit} &{\nonterminal{Open}} {\terminal{,}} {\nonterminal{ListOpen}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Opens}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\terminal{open}} {\nonterminal{ListOpen}} {\terminal{in}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Open}} & {\arrow} &{\nonterminal{Ident}} \\ - & {\delimit} &{\terminal{(}} {\nonterminal{QualOpen}} {\nonterminal{Ident}} {\terminal{)}} \\ - & {\delimit} &{\terminal{(}} {\nonterminal{QualOpen}} {\nonterminal{Ident}} {\terminal{{$=$}}} {\nonterminal{Ident}} {\terminal{)}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ComplMod}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\terminal{incomplete}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{QualOpen}} & {\arrow} &{\emptyP} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListIncluded}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{Included}} \\ - & {\delimit} &{\nonterminal{Included}} {\terminal{,}} {\nonterminal{ListIncluded}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Included}} & {\arrow} &{\nonterminal{Ident}} \\ - & {\delimit} &{\nonterminal{Ident}} {\terminal{[}} {\nonterminal{ListIdent}} {\terminal{]}} \\ - & {\delimit} &{\nonterminal{Ident}} {\terminal{{$-$}}} {\terminal{[}} {\nonterminal{ListIdent}} {\terminal{]}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Def}} & {\arrow} &{\nonterminal{ListName}} {\terminal{:}} {\nonterminal{Exp}} \\ - & {\delimit} &{\nonterminal{ListName}} {\terminal{{$=$}}} {\nonterminal{Exp}} \\ - & {\delimit} &{\nonterminal{Name}} {\nonterminal{ListPatt}} {\terminal{{$=$}}} {\nonterminal{Exp}} \\ - & {\delimit} &{\nonterminal{ListName}} {\terminal{:}} {\nonterminal{Exp}} {\terminal{{$=$}}} {\nonterminal{Exp}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{TopDef}} & {\arrow} &{\terminal{cat}} {\nonterminal{ListCatDef}} \\ - & {\delimit} &{\terminal{fun}} {\nonterminal{ListFunDef}} \\ - & {\delimit} &{\terminal{data}} {\nonterminal{ListFunDef}} \\ - & {\delimit} &{\terminal{def}} {\nonterminal{ListDef}} \\ - & {\delimit} &{\terminal{data}} {\nonterminal{ListDataDef}} \\ - & {\delimit} &{\terminal{param}} {\nonterminal{ListParDef}} \\ - & {\delimit} &{\terminal{oper}} {\nonterminal{ListDef}} \\ - & {\delimit} &{\terminal{lincat}} {\nonterminal{ListPrintDef}} \\ - & {\delimit} &{\terminal{lindef}} {\nonterminal{ListDef}} \\ - & {\delimit} &{\terminal{lin}} {\nonterminal{ListDef}} \\ - & {\delimit} &{\terminal{printname}} {\terminal{cat}} {\nonterminal{ListPrintDef}} \\ - & {\delimit} &{\terminal{printname}} {\terminal{fun}} {\nonterminal{ListPrintDef}} \\ - & {\delimit} &{\terminal{flags}} {\nonterminal{ListFlagDef}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{CatDef}} & {\arrow} &{\nonterminal{Ident}} {\nonterminal{ListDDecl}} \\ - & {\delimit} &{\terminal{[}} {\nonterminal{Ident}} {\nonterminal{ListDDecl}} {\terminal{]}} \\ - & {\delimit} &{\terminal{[}} {\nonterminal{Ident}} {\nonterminal{ListDDecl}} {\terminal{]}} {\terminal{\{}} {\nonterminal{Integer}} {\terminal{\}}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{FunDef}} & {\arrow} &{\nonterminal{ListIdent}} {\terminal{:}} {\nonterminal{Exp}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{DataDef}} & {\arrow} &{\nonterminal{Ident}} {\terminal{{$=$}}} {\nonterminal{ListDataConstr}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{DataConstr}} & {\arrow} &{\nonterminal{Ident}} \\ - & {\delimit} &{\nonterminal{Ident}} {\terminal{.}} {\nonterminal{Ident}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListDataConstr}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{DataConstr}} \\ - & {\delimit} &{\nonterminal{DataConstr}} {\terminal{{$|$}}} {\nonterminal{ListDataConstr}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ParDef}} & {\arrow} &{\nonterminal{Ident}} {\terminal{{$=$}}} {\nonterminal{ListParConstr}} \\ - & {\delimit} &{\nonterminal{Ident}} {\terminal{{$=$}}} {\terminal{(}} {\terminal{in}} {\nonterminal{Ident}} {\terminal{)}} \\ - & {\delimit} &{\nonterminal{Ident}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ParConstr}} & {\arrow} &{\nonterminal{Ident}} {\nonterminal{ListDDecl}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{PrintDef}} & {\arrow} &{\nonterminal{ListName}} {\terminal{{$=$}}} {\nonterminal{Exp}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{FlagDef}} & {\arrow} &{\nonterminal{Ident}} {\terminal{{$=$}}} {\nonterminal{Ident}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListDef}} & {\arrow} &{\nonterminal{Def}} {\terminal{;}} \\ - & {\delimit} &{\nonterminal{Def}} {\terminal{;}} {\nonterminal{ListDef}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListCatDef}} & {\arrow} &{\nonterminal{CatDef}} {\terminal{;}} \\ - & {\delimit} &{\nonterminal{CatDef}} {\terminal{;}} {\nonterminal{ListCatDef}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListFunDef}} & {\arrow} &{\nonterminal{FunDef}} {\terminal{;}} \\ - & {\delimit} &{\nonterminal{FunDef}} {\terminal{;}} {\nonterminal{ListFunDef}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListDataDef}} & {\arrow} &{\nonterminal{DataDef}} {\terminal{;}} \\ - & {\delimit} &{\nonterminal{DataDef}} {\terminal{;}} {\nonterminal{ListDataDef}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListParDef}} & {\arrow} &{\nonterminal{ParDef}} {\terminal{;}} \\ - & {\delimit} &{\nonterminal{ParDef}} {\terminal{;}} {\nonterminal{ListParDef}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListPrintDef}} & {\arrow} &{\nonterminal{PrintDef}} {\terminal{;}} \\ - & {\delimit} &{\nonterminal{PrintDef}} {\terminal{;}} {\nonterminal{ListPrintDef}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListFlagDef}} & {\arrow} &{\nonterminal{FlagDef}} {\terminal{;}} \\ - & {\delimit} &{\nonterminal{FlagDef}} {\terminal{;}} {\nonterminal{ListFlagDef}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListParConstr}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{ParConstr}} \\ - & {\delimit} &{\nonterminal{ParConstr}} {\terminal{{$|$}}} {\nonterminal{ListParConstr}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListIdent}} & {\arrow} &{\nonterminal{Ident}} \\ - & {\delimit} &{\nonterminal{Ident}} {\terminal{,}} {\nonterminal{ListIdent}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Name}} & {\arrow} &{\nonterminal{Ident}} \\ - & {\delimit} &{\terminal{[}} {\nonterminal{Ident}} {\terminal{]}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListName}} & {\arrow} &{\nonterminal{Name}} \\ - & {\delimit} &{\nonterminal{Name}} {\terminal{,}} {\nonterminal{ListName}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{LocDef}} & {\arrow} &{\nonterminal{ListIdent}} {\terminal{:}} {\nonterminal{Exp}} \\ - & {\delimit} &{\nonterminal{ListIdent}} {\terminal{{$=$}}} {\nonterminal{Exp}} \\ - & {\delimit} &{\nonterminal{ListIdent}} {\terminal{:}} {\nonterminal{Exp}} {\terminal{{$=$}}} {\nonterminal{Exp}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListLocDef}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{LocDef}} \\ - & {\delimit} &{\nonterminal{LocDef}} {\terminal{;}} {\nonterminal{ListLocDef}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Exp6}} & {\arrow} &{\nonterminal{Ident}} \\ - & {\delimit} &{\nonterminal{Sort}} \\ - & {\delimit} &{\nonterminal{String}} \\ - & {\delimit} &{\nonterminal{Integer}} \\ - & {\delimit} &{\nonterminal{Double}} \\ - & {\delimit} &{\terminal{?}} \\ - & {\delimit} &{\terminal{[}} {\terminal{]}} \\ - & {\delimit} &{\terminal{data}} \\ - & {\delimit} &{\terminal{[}} {\nonterminal{Ident}} {\nonterminal{Exps}} {\terminal{]}} \\ - & {\delimit} &{\terminal{[}} {\nonterminal{String}} {\terminal{]}} \\ - & {\delimit} &{\terminal{\{}} {\nonterminal{ListLocDef}} {\terminal{\}}} \\ - & {\delimit} &{\terminal{{$<$}}} {\nonterminal{ListTupleComp}} {\terminal{{$>$}}} \\ - & {\delimit} &{\terminal{{$<$}}} {\nonterminal{Exp}} {\terminal{:}} {\nonterminal{Exp}} {\terminal{{$>$}}} \\ - & {\delimit} &{\terminal{(}} {\nonterminal{Exp}} {\terminal{)}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Exp5}} & {\arrow} &{\nonterminal{Exp5}} {\terminal{.}} {\nonterminal{Label}} \\ - & {\delimit} &{\nonterminal{Exp6}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Exp4}} & {\arrow} &{\nonterminal{Exp4}} {\nonterminal{Exp5}} \\ - & {\delimit} &{\terminal{table}} {\terminal{\{}} {\nonterminal{ListCase}} {\terminal{\}}} \\ - & {\delimit} &{\terminal{table}} {\nonterminal{Exp6}} {\terminal{\{}} {\nonterminal{ListCase}} {\terminal{\}}} \\ - & {\delimit} &{\terminal{table}} {\nonterminal{Exp6}} {\terminal{[}} {\nonterminal{ListExp}} {\terminal{]}} \\ - & {\delimit} &{\terminal{case}} {\nonterminal{Exp}} {\terminal{of}} {\terminal{\{}} {\nonterminal{ListCase}} {\terminal{\}}} \\ - & {\delimit} &{\terminal{variants}} {\terminal{\{}} {\nonterminal{ListExp}} {\terminal{\}}} \\ - & {\delimit} &{\terminal{pre}} {\terminal{\{}} {\nonterminal{Exp}} {\terminal{;}} {\nonterminal{ListAltern}} {\terminal{\}}} \\ - & {\delimit} &{\terminal{strs}} {\terminal{\{}} {\nonterminal{ListExp}} {\terminal{\}}} \\ - & {\delimit} &{\nonterminal{Ident}} {\terminal{@}} {\nonterminal{Exp6}} \\ - & {\delimit} &{\nonterminal{Exp5}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Exp3}} & {\arrow} &{\nonterminal{Exp3}} {\terminal{!}} {\nonterminal{Exp4}} \\ - & {\delimit} &{\nonterminal{Exp3}} {\terminal{*}} {\nonterminal{Exp4}} \\ - & {\delimit} &{\nonterminal{Exp3}} {\terminal{**}} {\nonterminal{Exp4}} \\ - & {\delimit} &{\nonterminal{Exp4}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Exp1}} & {\arrow} &{\nonterminal{Exp2}} {\terminal{{$+$}}} {\nonterminal{Exp1}} \\ - & {\delimit} &{\nonterminal{Exp2}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Exp}} & {\arrow} &{\nonterminal{Exp1}} {\terminal{{$+$}{$+$}}} {\nonterminal{Exp}} \\ - & {\delimit} &{\terminal{$\backslash$}} {\nonterminal{ListBind}} {\terminal{{$-$}{$>$}}} {\nonterminal{Exp}} \\ - & {\delimit} &{\terminal{$\backslash$}} {\terminal{$\backslash$}} {\nonterminal{ListBind}} {\terminal{{$=$}{$>$}}} {\nonterminal{Exp}} \\ - & {\delimit} &{\nonterminal{Decl}} {\terminal{{$-$}{$>$}}} {\nonterminal{Exp}} \\ - & {\delimit} &{\nonterminal{Exp3}} {\terminal{{$=$}{$>$}}} {\nonterminal{Exp}} \\ - & {\delimit} &{\terminal{let}} {\terminal{\{}} {\nonterminal{ListLocDef}} {\terminal{\}}} {\terminal{in}} {\nonterminal{Exp}} \\ - & {\delimit} &{\terminal{let}} {\nonterminal{ListLocDef}} {\terminal{in}} {\nonterminal{Exp}} \\ - & {\delimit} &{\nonterminal{Exp3}} {\terminal{where}} {\terminal{\{}} {\nonterminal{ListLocDef}} {\terminal{\}}} \\ - & {\delimit} &{\terminal{in}} {\nonterminal{Exp5}} {\nonterminal{String}} \\ - & {\delimit} &{\nonterminal{Exp1}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Exp2}} & {\arrow} &{\nonterminal{Exp3}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListExp}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{Exp}} \\ - & {\delimit} &{\nonterminal{Exp}} {\terminal{;}} {\nonterminal{ListExp}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Exps}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{Exp6}} {\nonterminal{Exps}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Patt2}} & {\arrow} &{\terminal{\_}} \\ - & {\delimit} &{\nonterminal{Ident}} \\ - & {\delimit} &{\nonterminal{Ident}} {\terminal{.}} {\nonterminal{Ident}} \\ - & {\delimit} &{\nonterminal{Integer}} \\ - & {\delimit} &{\nonterminal{Double}} \\ - & {\delimit} &{\nonterminal{String}} \\ - & {\delimit} &{\terminal{\{}} {\nonterminal{ListPattAss}} {\terminal{\}}} \\ - & {\delimit} &{\terminal{{$<$}}} {\nonterminal{ListPattTupleComp}} {\terminal{{$>$}}} \\ - & {\delimit} &{\terminal{(}} {\nonterminal{Patt}} {\terminal{)}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Patt1}} & {\arrow} &{\nonterminal{Ident}} {\nonterminal{ListPatt}} \\ - & {\delimit} &{\nonterminal{Ident}} {\terminal{.}} {\nonterminal{Ident}} {\nonterminal{ListPatt}} \\ - & {\delimit} &{\nonterminal{Patt2}} {\terminal{*}} \\ - & {\delimit} &{\nonterminal{Ident}} {\terminal{@}} {\nonterminal{Patt2}} \\ - & {\delimit} &{\terminal{{$-$}}} {\nonterminal{Patt2}} \\ - & {\delimit} &{\nonterminal{Patt2}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Patt}} & {\arrow} &{\nonterminal{Patt}} {\terminal{{$|$}}} {\nonterminal{Patt1}} \\ - & {\delimit} &{\nonterminal{Patt}} {\terminal{{$+$}}} {\nonterminal{Patt1}} \\ - & {\delimit} &{\nonterminal{Patt1}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{PattAss}} & {\arrow} &{\nonterminal{ListIdent}} {\terminal{{$=$}}} {\nonterminal{Patt}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Label}} & {\arrow} &{\nonterminal{Ident}} \\ - & {\delimit} &{\terminal{\$}} {\nonterminal{Integer}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Sort}} & {\arrow} &{\terminal{Type}} \\ - & {\delimit} &{\terminal{PType}} \\ - & {\delimit} &{\terminal{Str}} \\ - & {\delimit} &{\terminal{Strs}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListPattAss}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{PattAss}} \\ - & {\delimit} &{\nonterminal{PattAss}} {\terminal{;}} {\nonterminal{ListPattAss}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListPatt}} & {\arrow} &{\nonterminal{Patt2}} \\ - & {\delimit} &{\nonterminal{Patt2}} {\nonterminal{ListPatt}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Bind}} & {\arrow} &{\nonterminal{Ident}} \\ - & {\delimit} &{\terminal{\_}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListBind}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{Bind}} \\ - & {\delimit} &{\nonterminal{Bind}} {\terminal{,}} {\nonterminal{ListBind}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Decl}} & {\arrow} &{\terminal{(}} {\nonterminal{ListBind}} {\terminal{:}} {\nonterminal{Exp}} {\terminal{)}} \\ - & {\delimit} &{\nonterminal{Exp4}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{TupleComp}} & {\arrow} &{\nonterminal{Exp}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{PattTupleComp}} & {\arrow} &{\nonterminal{Patt}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListTupleComp}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{TupleComp}} \\ - & {\delimit} &{\nonterminal{TupleComp}} {\terminal{,}} {\nonterminal{ListTupleComp}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListPattTupleComp}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{PattTupleComp}} \\ - & {\delimit} &{\nonterminal{PattTupleComp}} {\terminal{,}} {\nonterminal{ListPattTupleComp}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Case}} & {\arrow} &{\nonterminal{Patt}} {\terminal{{$=$}{$>$}}} {\nonterminal{Exp}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListCase}} & {\arrow} &{\nonterminal{Case}} \\ - & {\delimit} &{\nonterminal{Case}} {\terminal{;}} {\nonterminal{ListCase}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{Altern}} & {\arrow} &{\nonterminal{Exp}} {\terminal{/}} {\nonterminal{Exp}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListAltern}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{Altern}} \\ - & {\delimit} &{\nonterminal{Altern}} {\terminal{;}} {\nonterminal{ListAltern}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{DDecl}} & {\arrow} &{\terminal{(}} {\nonterminal{ListBind}} {\terminal{:}} {\nonterminal{Exp}} {\terminal{)}} \\ - & {\delimit} &{\nonterminal{Exp6}} \\ -\end{tabular}\\ - -\begin{tabular}{lll} -{\nonterminal{ListDDecl}} & {\arrow} &{\emptyP} \\ - & {\delimit} &{\nonterminal{DDecl}} {\nonterminal{ListDDecl}} \\ -\end{tabular}\\ - - diff --git a/doc/tutorial/FORMULAone.tex b/doc/tutorial/FORMULAone.tex deleted file mode 100644 index aa114c837..000000000 --- a/doc/tutorial/FORMULAone.tex +++ /dev/null @@ -1,4 +0,0 @@ -\( -(\forall p : \mbox{Pt})(\forall l : \mbox{Ln})(\mbox{Ext}(p,l) \; \supset \; - (\exists m : \mbox{Ln})(\mbox{Inc}(p,m) \& \mbox{Par}(m,l))) -\) \ No newline at end of file diff --git a/doc/tutorial/Food2Eng.gf b/doc/tutorial/Food2Eng.gf deleted file mode 100644 index a92e426eb..000000000 --- a/doc/tutorial/Food2Eng.gf +++ /dev/null @@ -1,23 +0,0 @@ -concrete Food2Eng of Food = open StringOper in { - - lincat - S, Item, Kind, Quality = SS ; - - lin - Is item quality = cc item (prefix "is" quality) ; - This = prefix "this" ; - That = prefix "that" ; - QKind = cc ; - Wine = ss "wine" ; - Cheese = ss "cheese" ; - Fish = ss "fish" ; - Very = prefix "very" ; - Fresh = ss "fresh" ; - Warm = ss "warm" ; - Italian = ss "Italian" ; - Expensive = ss "expensive" ; - Delicious = ss "delicious" ; - Boring = ss "boring" ; - -} - \ No newline at end of file diff --git a/doc/tutorial/Foodmarket.gf b/doc/tutorial/Foodmarket.gf deleted file mode 100644 index 18bbe6853..000000000 --- a/doc/tutorial/Foodmarket.gf +++ /dev/null @@ -1,5 +0,0 @@ -abstract Foodmarket = Food, Fruit, Mushroom ** { - fun - FruitKind : Fruit -> Kind ; - MushroomKind : Mushroom -> Kind ; -} diff --git a/doc/tutorial/Foodmarket.png b/doc/tutorial/Foodmarket.png deleted file mode 100644 index 88c81ba8351d168cefedf2328de73b3b5bfc488f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1353 zcmeAS@N?(olHy`uVBq!ia0y~yV9a1(U|7n?%)r3lt@YJ|fq{W7z$e6&fq~)w|Nl#G z&cDmRz`&T~?e41v>Eaj?aro_w^VzblG6&e5&N!;nI|+#LE8XyZr62L1;p4T#LaPz4|@xYd^i%eNaQrr|Gec zWsqpnm8wZk{?GjF*8T2f`UEi(Q6;ga^zcMuUBjI%n^P-q_#A&4xk}LFlH!6);j@W} z3BFr`RIbN9V7s*@a4wtF>WXJkU)nFPT&XATw>j$2gM}uhI%{VKF1B>opsmV#tIPDb zbB1-llYOqoqICsI_YZZ(WOMF3#AhdZtWQ`IR;*UNU-N9i(#Av#mR3ujb}W zJd&sC{J1}7tkX-~8Eo{ic2aeL^QD!OeD%-nH4m29{_qW2Azq60L7%sARM{RTH zm-UnO{k*nm3HMFIxwX~*vK-gfZU5o=JuHp&S>~Uo*4eWy|K9j?OL+M^_Nn{7w_KF7 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diff --git a/doc/tutorial/Fruit.gf b/doc/tutorial/Fruit.gf deleted file mode 100644 index a3dc1d84a..000000000 --- a/doc/tutorial/Fruit.gf +++ /dev/null @@ -1,4 +0,0 @@ -abstract Fruit = { - cat Fruit ; - fun Apple, Peach : Fruit ; -} diff --git a/doc/tutorial/FruitEng.gf b/doc/tutorial/FruitEng.gf deleted file mode 100644 index 15a378a1f..000000000 --- a/doc/tutorial/FruitEng.gf +++ /dev/null @@ -1,5 +0,0 @@ -concrete FruitEng of Fruit = { - lin - Apple = {s = "apple"} ; - Peach = {s = "peach"} ; -} diff --git a/doc/tutorial/Makefile b/doc/tutorial/Makefile deleted file mode 100644 index f009b12d3..000000000 --- a/doc/tutorial/Makefile +++ /dev/null @@ -1,16 +0,0 @@ -all: book - -tuthtml: - txt2tags -thtml --toc gf-tutorial2_9.txt -tuttex: - txt2tags -ttex --toc gf-tutorial2_9.txt - cat prelude gf-tutorial2_9.tex >tmp.tex - mv tmp.tex gf-tutorial2_9.tex - pdflatex gf-tutorial2_9.tex - pdflatex gf-tutorial2_9.tex -book: - txt2tags -ttex --toc gf-book.txt - cat prelude gf-book.tex >tmp.tex - mv tmp.tex gf-book.tex - pdflatex gf-book.tex - pdflatex gf-book.tex diff --git a/doc/tutorial/Morefood.gf b/doc/tutorial/Morefood.gf deleted file mode 100644 index 8e27e9718..000000000 --- a/doc/tutorial/Morefood.gf +++ /dev/null @@ -1,8 +0,0 @@ -abstract Morefood = Food ** { - cat - Question ; - fun - QIs : Item -> Quality -> Question ; - Pizza : Kind ; - -} diff --git a/doc/tutorial/MorefoodEng.gf b/doc/tutorial/MorefoodEng.gf deleted file mode 100644 index 90ff1532a..000000000 --- a/doc/tutorial/MorefoodEng.gf +++ /dev/null @@ -1,7 +0,0 @@ -concrete MorefoodEng of Morefood = FoodEng ** { - lincat - Question = {s : Str} ; - lin - QIs item quality = {s = "is" ++ item.s ++ quality.s} ; - Pizza = {s = "pizza"} ; -} \ No newline at end of file diff --git a/doc/tutorial/Multi.png b/doc/tutorial/Multi.png deleted file mode 100644 index 37308de488cd3f5684d6a9fc4246227e77221e05..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 14399 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; - Kind = CN ; - Item = NP ; - - lin - Is item quality = PosVP item (PredAP quality) ; - This = DetCN this_Det ; - That = DetCN that_Det ; - These = DetCN these_Det ; - Those = DetCN those_Det ; - QKind = ModCN ; - Very = AdAP very_AdA ; - -} - \ No newline at end of file diff --git a/doc/tutorial/applications/CommentsIta.gf b/doc/tutorial/applications/CommentsIta.gf deleted file mode 100644 index eb60a8935..000000000 --- a/doc/tutorial/applications/CommentsIta.gf +++ /dev/null @@ -1,2 +0,0 @@ -concrete CommentsIta of Comments = CommentsI with - (Syntax = SyntaxIta) ; diff --git a/doc/tutorial/applications/FoodComments.gf b/doc/tutorial/applications/FoodComments.gf deleted file mode 100644 index 2d9f7013b..000000000 --- a/doc/tutorial/applications/FoodComments.gf +++ /dev/null @@ -1,7 +0,0 @@ -abstract FoodComments = Comments ** { - - fun - Wine, Cheese, Fish, Pizza : Kind ; - Fresh, Warm, Italian, Expensive, Delicious, Boring : Quality ; - -} diff --git a/doc/tutorial/applications/FoodCommentsEng.gf b/doc/tutorial/applications/FoodCommentsEng.gf deleted file mode 100644 index 4ac054dd3..000000000 --- a/doc/tutorial/applications/FoodCommentsEng.gf +++ /dev/null @@ -1,18 +0,0 @@ ---# -path=.:../resource:prelude - - -concrete FoodCommentsEng of FoodComments = CommentsEng ** open LexEng in { - - lin - Wine = regN "wine" ; - Cheese = regN "cheese" ; - Fish = mkN "fish" "fish" ; - Pizza = regN "pizza" ; - Fresh = mkA "fresh" ; - Warm = mkA "warm" ; - Italian = mkA "Italian" ; - Expensive = mkA "expensive" ; - Delicious = mkA "delicious" ; - Boring = mkA "boring" ; - -} diff --git a/doc/tutorial/applications/FoodCommentsIta.gf b/doc/tutorial/applications/FoodCommentsIta.gf deleted file mode 100644 index a75c4a8b7..000000000 --- a/doc/tutorial/applications/FoodCommentsIta.gf +++ /dev/null @@ -1,17 +0,0 @@ ---# -path=.:../resource:prelude - -concrete FoodCommentsIta of FoodComments = CommentsIta ** open LexIta in { - - lin - Wine = regN "vino" ; - Cheese = mkN masculine "formaggio" "formaggi" ; - Fish = regN "pesce" ; - Pizza = regN "pizza" ; - Fresh = mkA "fresco" "fresca" "freschi" "fresche" ; - Warm = regA "caldo" ; - Italian = regA "italiano" ; - Expensive = regA "caro" ; - Delicious = regA "delizioso" ; - Boring = regA "noioso" ; - -} diff --git a/doc/tutorial/arithm/Arithm.gf b/doc/tutorial/arithm/Arithm.gf deleted file mode 100644 index 00d6b4780..000000000 --- a/doc/tutorial/arithm/Arithm.gf +++ /dev/null @@ -1,13 +0,0 @@ -abstract Arithm = { - - cat - Prop ; - Nat ; - - fun - Zero : Nat ; - Succ : Nat -> Nat ; - Even : Nat -> Prop ; - And : Prop -> Prop -> Prop ; - -} diff --git a/doc/tutorial/arithm/ArithmEng.gf b/doc/tutorial/arithm/ArithmEng.gf deleted file mode 100644 index 5d2cd966d..000000000 --- a/doc/tutorial/arithm/ArithmEng.gf +++ /dev/null @@ -1,27 +0,0 @@ ---# -path=.:alltenses:prelude - -concrete ArithmEng of Arithm = ArithmI with - (Lang = LangEng), - (Lex = LexEng) ; - -{- - -concrete ArithmEng of Arithm = open LangEng, ParadigmsEng in { - - lincat - Prop = S ; - Nat = NP ; - - lin - Zero = - UsePN (regPN "zero" nonhuman) ; - Succ n = - DetCN (DetSg (SgQuant DefArt) NoOrd) (ComplN2 (regN2 "successor") n) ; - Even n = - UseCl TPres ASimul PPos - (PredVP n (UseComp (CompAP (PositA (regA "even"))))) ; - And x y = - ConjS and_Conj (BaseS x y) ; - -} --} diff --git a/doc/tutorial/arithm/ArithmI.gf b/doc/tutorial/arithm/ArithmI.gf deleted file mode 100644 index f41b57fa6..000000000 --- a/doc/tutorial/arithm/ArithmI.gf +++ /dev/null @@ -1,20 +0,0 @@ ---# -path=.:alltenses:prelude - -incomplete concrete ArithmI of Arithm = open Lang, Lex in { - - lincat - Prop = S ; - Nat = NP ; - - lin - Zero = - UsePN zero_PN ; - Succ n = - DetCN (DetSg (SgQuant DefArt) NoOrd) (ComplN2 successor_N2 n) ; - Even n = - UseCl TPres ASimul PPos - (PredVP n (UseComp (CompAP (PositA even_A)))) ; - And x y = - ConjS and_Conj (BaseS x y) ; - -} diff --git a/doc/tutorial/arithm/ArithmSwe.gf b/doc/tutorial/arithm/ArithmSwe.gf deleted file mode 100644 index 070dcc280..000000000 --- a/doc/tutorial/arithm/ArithmSwe.gf +++ /dev/null @@ -1,29 +0,0 @@ ---# -path=.:alltenses:prelude - - -concrete ArithmSwe of Arithm = ArithmI with - (Lang = LangSwe), - (Lex = LexSwe) ; - -{- -concrete ArithmSwe of Arithm = open LangSwe, ParadigmsSwe in { - - lincat - Prop = S ; - Nat = NP ; - - lin - Zero = - UsePN (regPN "noll" neutrum) ; - Succ n = - DetCN (DetSg (SgQuant DefArt) NoOrd) - (ComplN2 (mkN2 (mk2N "efterföljare" "efterföljare") - (mkPreposition "till")) n) ; - Even n = - UseCl TPres ASimul PPos - (PredVP n (UseComp (CompAP (PositA (regA "jämn"))))) ; - And x y = - ConjS and_Conj (BaseS x y) ; - -} --} \ No newline at end of file diff --git a/doc/tutorial/arithm/Lex.gf b/doc/tutorial/arithm/Lex.gf deleted file mode 100644 index bfc725772..000000000 --- a/doc/tutorial/arithm/Lex.gf +++ /dev/null @@ -1,6 +0,0 @@ -abstract Lex = Cat ** { - fun - zero_PN : PN ; - successor_N2 : N2 ; - even_A : A ; -} diff --git a/doc/tutorial/arithm/LexEng.gf b/doc/tutorial/arithm/LexEng.gf deleted file mode 100644 index 50a2a99df..000000000 --- a/doc/tutorial/arithm/LexEng.gf +++ /dev/null @@ -1,6 +0,0 @@ -concrete LexEng of Lex = CatEng ** open ParadigmsEng in { - lin - zero_PN = regPN "zero" nonhuman ; - successor_N2 = regN2 "successor" ; - even_A = regA "even" ; -} diff --git a/doc/tutorial/arithm/LexSwe.gf b/doc/tutorial/arithm/LexSwe.gf deleted file mode 100644 index 54d66b6e9..000000000 --- a/doc/tutorial/arithm/LexSwe.gf +++ /dev/null @@ -1,8 +0,0 @@ -concrete LexSwe of Lex = CatSwe ** open ParadigmsSwe in { - lin - zero_PN = regPN "noll" neutrum ; - successor_N2 = - mkN2 (mk2N "efterföljare" "efterföljare") (mkPreposition "till") ; - even_A = regA "jämn" ; - -} diff --git a/doc/tutorial/food.cf b/doc/tutorial/food.cf deleted file mode 100644 index 6c6379c60..000000000 --- a/doc/tutorial/food.cf +++ /dev/null @@ -1,15 +0,0 @@ -Is. 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Grammatical Framework Tutorial

- -Author: Aarne Ranta aarne (at) cs.chalmers.se
-Last update: Sun Jul 8 18:36:23 2007 -
- -

-
-

- - -

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-

- -

- -

Introduction

- -

GF = Grammatical Framework

-

-The term GF is used for different things: -

-
    -
  • a program used for working with grammars -
  • a programming language in which grammars can be written -
  • a theory about grammars and languages -
- -

-This tutorial is primarily about the GF program and -the GF programming language. -It will guide you -

-
    -
  • to use the GF program -
  • to write GF grammars -
  • to write programs in which GF grammars are used as components -
- - -

What are GF grammars used for

-

-A grammar is a definition of a language. -From this definition, different language processing components -can be derived: -

-
    -
  • parsing: to analyse the language -
  • linearization: to generate the language -
  • translation: to analyse one language and generate another -
- -

-A GF grammar can be seen as a declarative program from which these -processing tasks can be automatically derived. In addition, many -other tasks are readily available for GF grammars: -

-
    -
  • morphological analysis: find out the possible inflection forms of words -
  • morphological synthesis: generate all inflection forms of words -
  • random generation: generate random expressions -
  • corpus generation: generate all expressions -
  • treebank generation: generate a list of trees with multiple linearizations -
  • teaching quizzes: train morphology and translation -
  • multilingual authoring: create a document in many languages simultaneously -
  • speech input: optimize a speech recognition system for your grammar -
- -

-A typical GF application is based on a multilingual grammar involving -translation on a special domain. Existing applications of this idea include -

-
    -
  • Alfa:: - a natural-language interface to a proof editor - (languages: English, French, Swedish) -
  • KeY: - a multilingual authoring system for creating software specifications - (languages: OCL, English, German) -
  • TALK: - multilingual and multimodal dialogue systems - (languages: English, Finnish, French, German, Italian, Spanish, Swedish) -
  • WebALT: - a multilingual translator of mathematical exercises - (languages: Catalan, English, Finnish, French, Spanish, Swedish) -
  • Numeral translator: - number words from 1 to 999,999 - (88 languages) -
- -

-The specialization of a grammar to a domain makes it possible to -obtain much better translations than in an unlimited machine translation -system. This is due to the well-defined semantics of such domains. -Grammars having this character are called application grammars. -They are different from most grammars written by linguists just -because they are multilingual and domain-specific. -

-

-However, there is another kind of grammars, which we call resource grammars. -These are large, comprehensive grammars that can be used on any domain. -The GF Resource Grammar Library has resource grammars for 10 languages. -These grammars can be used as libraries to define application grammars. -In this way, it is possible to write a high-quality grammar without -knowing about linguistics: in general, to write an application grammar -by using the resource library just requires practical knowledge of -the target language. and all theoretical knowledge about its grammar -is given by the libraries. -

- -

Who is this tutorial for

-

-This tutorial is mainly for programmers who want to learn to write -application grammars. It will go through GF's programming concepts -without entering too deep into linguistics. Thus it should -be accessible to anyone who has some previous programming experience. -

-

-A separate document has been written on how to write resource grammars: the -Resource HOWTO. -In this tutorial, we will just cover the programming concepts that are used for -solving linguistic problems in the resource grammars. -

-

-The easiest way to use GF is probably via the interactive syntax editor. -Its use does not require any knowledge of the GF formalism. There is -a separate -Editor User Manual -by Janna Khegai, covering the use of the editor. The editor is also a platform for many -kinds of GF applications, implementing the slogan -

-

-write a document in a language you don't know, while seeing it in a language you know. -

- -

The coverage of the tutorial

-

-The tutorial gives a hands-on introduction to grammar writing. -We start by building a small grammar for the domain of food: -in this grammar, you can say things like -

-
-    this Italian cheese is delicious
-
-

-in English and Italian. -

-

-The first English grammar -food.cf -is written in a context-free -notation (also known as BNF). The BNF format is often a good -starting point for GF grammar development, because it is -simple and widely used. However, the BNF format is not -good for multilingual grammars. While it is possible to -"translate" by just changing the words contained in a -BNF grammar to words of some other -language, proper translation usually involves more. -For instance, the order of words may have to be changed: -

-
-    Italian cheese ===> formaggio italiano
-
-

-The full GF grammar format is designed to support such -changes, by separating between the abstract syntax -(the logical structure) and the concrete syntax (the -sequence of words) of expressions. -

-

-There is more than words and word order that makes languages -different. Words can have different forms, and which forms -they have vary from language to language. For instance, -Italian adjectives usually have four forms where English -has just one: -

-
-    delicious (wine, wines, pizza, pizzas)
-    vino delizioso, vini deliziosi, pizza deliziosa, pizze deliziose
-
-

-The morphology of a language describes the -forms of its words. While the complete description of morphology -belongs to resource grammars, this tutorial will explain the -programming concepts involved in morphology. This will moreover -make it possible to grow the fragment covered by the food example. -The tutorial will in fact build a miniature resource grammar in order -to give an introduction to linguistically oriented grammar writing. -

-

-Thus it is by elaborating the initial food.cf example that -the tutorial makes a guided tour through all concepts of GF. -While the constructs of the GF language are the main focus, -also the commands of the GF system are introduced as they -are needed. -

-

-To learn how to write GF grammars is not the only goal of -this tutorial. We will also explain the most important -commands of the GF system. With these commands, -simple applications of grammars, such as translation and -quiz systems, can be built simply by writing scripts for the -system. -

-

-More complicated applications, such as natural-language -interfaces and dialogue systems, moreover require programming in -some general-purpose language. Thus we will briefly explain how -GF grammars are used as components of Haskell programs. -Chapters on using them in Java and Javascript programs are -forthcoming; a comprehensive manual on GF embedded in Java, by Björn Bringert, is -available in -http://www.cs.chalmers.se/~bringert/gf/gf-java.html. -

- -

Getting the GF program

-

-The GF program is open-source free software, which you can download via the -GF Homepage: -

-

-http://www.cs.chalmers.se/~aarne/GF -

-

-There you can download -

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    -
  • binaries for Linux, Mac OS X, and Windows -
  • source code and documentation -
  • grammar libraries and examples -
- -

-If you want to compile GF from source, you need a Haskell compiler. -To compile the interactive editor, you also need a Java compilers. -But normally you don't have to compile, and you definitely -don't need to know Haskell or Java to use GF. -

-

-We are assuming the availability of a Unix shell. Linux and Mac OS X users -have it automatically, the latter under the name "terminal". -Windows users are recommended to install Cywgin, the free Unix shell for Windows. -

- -

Running the GF program

-

-To start the GF program, assuming you have installed it, just type -

-
-    % gf
-
-

-in the shell. -You will see GF's welcome message and the prompt >. -The command -

-
-    > help
-
-

-will give you a list of available commands. -

-

-As a common convention in this Tutorial, we will use -

-
    -
  • % as a prompt that marks system commands -
  • > as a prompt that marks GF commands -
- -

-Thus you should not type these prompts, but only the lines that -follow them. -

- -

The .cf grammar format

-

-Now you are ready to try out your first grammar. -We start with one that is not written in the GF language, but -in the much more common BNF notation (Backus Naur Form). The GF -program understands a variant of this notation and translates it -internally to GF's own representation. -

-

-To get started, type (or copy) the following lines into a file named -food.cf: -

-
-  Is.        S       ::= Item "is" Quality ;
-  That.      Item    ::= "that" Kind ;
-  This.      Item    ::= "this" Kind ;
-  QKind.     Kind    ::= Quality Kind ;
-  Cheese.    Kind    ::= "cheese" ;
-  Fish.      Kind    ::= "fish" ;
-  Wine.      Kind    ::= "wine" ;
-  Italian.   Quality ::= "Italian" ;
-  Boring.    Quality ::= "boring" ;
-  Delicious. Quality ::= "delicious" ;
-  Expensive. Quality ::= "expensive" ;
-  Fresh.     Quality ::= "fresh" ;
-  Very.      Quality ::= "very" Quality ;
-  Warm.      Quality ::= "warm" ;
-
-

-For those who know ordinary BNF, the -notation we use includes one extra element: a label appearing -as the first element of each rule and terminated by a full stop. -

-

-The grammar we wrote defines a set of phrases usable for speaking about food. -It builds sentences (S) by assigning Qualitys to -Items. Items are build from Kinds by prepending the -word "this" or "that". Kinds are either atomic, such as -"cheese" and "wine", or formed by prepending a Quality to a -Kind. A Quality is either atomic, such as "Italian" and "boring", -or built by another Quality by prepending "very". Those familiar with -the context-free grammar notation will notice that, for instance, the -following sentence can be built using this grammar: -

-
-    this delicious Italian wine is very very expensive
-
-

- -

Importing grammars and parsing strings

-

-The first GF command needed when using a grammar is to import it. -The command has a long name, import, and a short name, i. -You can type either -

-
-    > import food.cf
-
-

-or -

-
-    > i food.cf
-
-

-to get the same effect. -The effect is that the GF program compiles your grammar into an internal -representation, and shows a new prompt when it is ready. It will also show how much -CPU time is consumed: -

-
-    > i food.cf
-    - parsing cf food.cf 12 msec
-    16 msec
-    >        
-
-

-You can now use GF for parsing: -

-
-    > parse "this cheese is delicious"
-    Is (This Cheese) Delicious
-  
-    > p "that wine is very very Italian"
-    Is (That Wine) (Very (Very Italian))
-
-

-The parse (= p) command takes a string -(in double quotes) and returns an abstract syntax tree - the thing -beginning with Is. Trees are built from the rule labels given in the -grammar, and record the ways in which the rules are used to produce the -strings. A tree is, in general, something easier than a string -for a machine to understand and to process further. -

-

-Strings that return a tree when parsed do so in virtue of the grammar -you imported. Try parsing something else, and you fail -

-
-    > p "hello world"
-    Unknown words: hello world
-
-

-

-Exercise. Extend the grammar food.cf by ten new food kinds and -qualities, and run the parser with new kinds of examples. -

-

-Exercise. Add a rule that enables questions of the form -is this cheese Italian. -

-

-Exercise. Add the rule -

-
-    IsVery. S ::= Item "is" "very" Quality ;
-
-

-and see what happens when parsing this wine is very very Italian. -You have just made the grammar ambiguous: it now assigns several -trees to some strings. -

-

-Exercise. Modify the grammar so that at most one Quality may -attach to a given Kind. Thus boring Italian fish will no longer -be recognized. -

- -

Generating trees and strings

-

-You can also use GF for linearizing -(linearize = l). This is the inverse of -parsing, taking trees into strings: -

-
-    > linearize Is (That Wine) Warm
-    that wine is warm
-
-

-What is the use of this? Typically not that you type in a tree at -the GF prompt. The utility of linearization comes from the fact that -you can obtain a tree from somewhere else. One way to do so is -random generation (generate_random = gr): -

-
-    > generate_random
-    Is (This (QKind Italian Fish)) Fresh
-
-

-Now you can copy the tree and paste it to the linearize command. -Or, more conveniently, feed random generation into linearization by using -a pipe. -

-
-    > gr | l
-    this Italian fish is fresh
-
-

-Pipes in GF work much the same way as Unix pipes: they feed the output -of one command into another command as its input. -

- -

Visualizing trees

-

-The gibberish code with parentheses returned by the parser does not -look like trees. Why is it called so? From the abstract mathematical -point of view, trees are a data structure that -represents nesting: trees are branching entities, and the branches -are themselves trees. Parentheses give a linear representation of trees, -useful for the computer. But the human eye may prefer to see a visualization; -for this purpose, GF provides the command visualizre_tree = vt, to which -parsing (and any other tree-producing command) can be piped: -

-
-    > parse "this delicious cheese is very Italian" | vt
-
-

-

- -

-

-This command uses the programs Graphviz and Ghostview, which you -might not have, but which are freely available on the web. -

- -

Some random-generated sentences

-

-Random generation is a good way to test a grammar; it can also -be fun. So you may want to -generate ten strings with one and the same command: -

-
-    > gr -number=10 | l
-    that wine is boring
-    that fresh cheese is fresh
-    that cheese is very boring
-    this cheese is Italian
-    that expensive cheese is expensive
-    that fish is fresh
-    that wine is very Italian
-    this wine is Italian
-    this cheese is boring
-    this fish is boring
-
-

- -

Systematic generation

-

-To generate all sentence that a grammar -can generate, use the command generate_trees = gt. -

-
-    > generate_trees | l
-    that cheese is very Italian
-    that cheese is very boring
-    that cheese is very delicious
-    that cheese is very expensive
-    that cheese is very fresh
-    ...
-    this wine is expensive
-    this wine is fresh
-    this wine is warm
-  
-
-

-You get quite a few trees but not all of them: only up to a given -depth of trees. To see how you can get more, use the -help = h command, -

-
-    > help gt
-
-

-

-Exercise. If the command gt generated all -trees in your grammar, it would never terminate. Why? -

-

-Exercise. Measure how many trees the grammar gives with depths 4 and 5, -respectively. You use the Unix word count command wc to count lines. -Hint. You can pipe the output of a GF command into a Unix command by -using the escape ?, as follows: -

-
-    > generate_trees | ? wc
-
-

- -

More on pipes; tracing

-

-A pipe of GF commands can have any length, but the "output type" -(either string or tree) of one command must always match the "input type" -of the next command. -

-

-The intermediate results in a pipe can be observed by putting the -tracing flag -tr to each command whose output you -want to see: -

-
-    > gr -tr | l -tr | p
-  
-    Is (This Cheese) Boring
-    this cheese is boring
-    Is (This Cheese) Boring  
-
-

-This facility is good for test purposes: for instance, you -may want to see if a grammar is ambiguous, i.e. -contains strings that can be parsed in more than one way. -

-

-Exercise. Extend the grammar food.cf so that it produces ambiguous strings, -and try out the ambiguity test. -

- -

Writing and reading files

-

-To save the outputs of GF commands into a file, you can -pipe it to the write_file = wf command, -

-
-    > gr -number=10 | l | write_file exx.tmp
-
-

-You can read the file back to GF with the -read_file = rf command, -

-
-    > read_file exx.tmp | p -lines
-
-

-Notice the flag -lines given to the parsing -command. This flag tells GF to parse each line of -the file separately. Without the flag, the grammar could -not recognize the string in the file, because it is not -a sentence but a sequence of ten sentences. -

- -

The .gf grammar format

-

-To see GF's internal representation of a grammar -that you have imported, you can give the command -print_grammar = pg, -

-
-    > print_grammar
-
-

-The output is quite unreadable at this stage, and you may feel happy that -you did not need to write the grammar in that notation, but that the -GF grammar compiler produced it. -

-

-However, we will now start the demonstration -how GF's own notation gives you -much more expressive power than the .cf -format. We will introduce the .gf format by presenting -another way of defining the same grammar as in -food.cf. -Then we will show how the full GF grammar format enables you -to do things that are not possible in the context-free format. -

- -

Abstract and concrete syntax

-

-A GF grammar consists of two main parts: -

-
    -
  • abstract syntax, defining what syntax trees there are -
  • concrete syntax, defining how trees are linearized into strings -
- -

-The context-free format fuses these two things together, but it is always -possible to take them apart. For instance, the sentence formation rule -

-
-    Is. S ::= Item "is" Quality ;
-
-

-is interpreted as the following pair of GF rules: -

-
-    fun Is : Item -> Quality -> S ;
-    lin Is item quality = {s = item.s ++ "is" ++ quality.s} ;
-
-

-The former rule, with the keyword fun, belongs to the abstract syntax. -It defines the function -Is which constructs syntax trees of form -(Is item quality). -

-

-The latter rule, with the keyword lin, belongs to the concrete syntax. -It defines the linearization function for -syntax trees of form (Is item quality). -

- -

Judgement forms

-

-Rules in a GF grammar are called judgements, and the keywords -fun and lin are used for distinguishing between two -judgement forms. Here is a summary of the most important -judgement forms: -

-
    -
  • abstract syntax -

    -
- - - - - - - - - - - - - - -
formreading
cat CC is a category
fun f : Af is a function of type A
- -

-
    -
  • concrete syntax -

    -
- - - - - - - - - - - - - - -
formreading
lincat C = Tcategory C has linearization type T
lin f = tfunction f has linearization t
- -

-

-We return to the precise meanings of these judgement forms later. -First we will look at how judgements are grouped into modules, and -show how the food grammar is -expressed by using modules and judgements. -

- -

Module types

-

-A GF grammar consists of modules, -into which judgements are grouped. The most important -module forms are -

-
    -
  • abstract A = M, abstract syntax A with judgements in - the module body M. -
  • concrete C of A = M, concrete syntax C of the - abstract syntax A, with judgements in the module body M. -
- - -

Basic types and function types

-

-The nonterminals of a context-free grammar, i.e. categories, -are called basic types in the type system of GF. In addition -to them, there are function types such as -

-
-    Item -> Quality -> S
-
-

-This type is read "a function from iterms and qualities to sentences". -The last type in the arrow-separated sequence is the value type -of the function type, the earlier types are its argument types. -

- -

Records and strings

-

-The linearization type of a category is a record type, with -zero of more fields of different types. The simplest record -type used for linearization in GF is -

-
-    {s : Str}
-
-

-which has one field, with label s and type Str. -

-

-Examples of records of this type are -

-
-    {s = "foo"}
-    {s = "hello" ++ "world"}
-
-

-

-Whenever a record r of type {s : Str} is given, -r.s is an object of type Str. This is -a special case of the projection rule, allowing the extraction -of fields from a record: -

-
    -
  • if r : { ... p : T ... } then r.p : T -
- -

-The type Str is really the type of token lists, but -most of the time one can conveniently think of it as the type of strings, -denoted by string literals in double quotes. -

-

-Notice that -

-
-   "hello world"
-
-

-is not recommended as an expression of type Str. It denotes -a token with a space in it, and will usually -not work with the lexical analysis that precedes parsing. A shorthand -exemplified by -

-
-    ["hello world and people"]  === "hello" ++ "world" ++ "and" ++ "people"
-
-

-can be used for lists of tokens. The expression -

-
-    []
-
-

-denotes the empty token list. -

- -

An abstract syntax example

-

-To express the abstract syntax of food.cf in -a file Food.gf, we write two kinds of judgements: -

-
    -
  • Each category is introduced by a cat judgement. -
  • Each rule label is introduced by a fun judgement, - with the type formed from the nonterminals of the rule. -
- -
-    abstract Food = {
-  
-    cat
-      S ; Item ; Kind ; Quality ;
-  
-    fun
-      Is : Item -> Quality -> S ;
-      This, That : Kind -> Item ;
-      QKind : Quality -> Kind -> Kind ;
-      Wine, Cheese, Fish : Kind ;
-      Very : Quality -> Quality ;
-      Fresh, Warm, Italian, Expensive, Delicious, Boring : Quality ;
-    }
-
-

-Notice the use of shorthands permitting the sharing of -the keyword in subsequent judgements, -

-
-    cat S ; Item ;   ===   cat S ; cat Item ; 
-
-

-and of the type in subsequent fun judgements, -

-
-    fun Wine, Fish : Kind ;            ===
-    fun Wine : Kind ; Fish : Kind ;    ===
-    fun Wine : Kind ; fun Fish : Kind ;
-
-

-The order of judgements in a module is free. -

-

-Exercise. Extend the abstract syntax Food with ten new -kinds and qualities, and with questions of the form -is this wine Italian. -

- -

A concrete syntax example

-

-Each category introduced in Food.gf is -given a lincat rule, and each -function is given a lin rule. Similar shorthands -apply as in abstract modules. -

-
-    concrete FoodEng of Food = {
-  
-    lincat
-      S, Item, Kind, Quality = {s : Str} ;
-  
-    lin
-      Is item quality = {s = item.s ++ "is" ++ quality.s} ;
-      This kind = {s = "this" ++ kind.s} ;
-      That kind = {s = "that" ++ kind.s} ;
-      QKind quality kind = {s = quality.s ++ kind.s} ;
-      Wine = {s = "wine"} ;
-      Cheese = {s = "cheese"} ;
-      Fish = {s = "fish"} ;
-      Very quality = {s = "very" ++ quality.s} ;
-      Fresh = {s = "fresh"} ;
-      Warm = {s = "warm"} ;
-      Italian = {s = "Italian"} ;
-      Expensive = {s = "expensive"} ;
-      Delicious = {s = "delicious"} ;
-      Boring = {s = "boring"} ;
-    }
-
-

-

-Exercise. Extend the concrete syntax FoodEng so that it -matches the abstract syntax defined in the exercise of the previous -section. What happens if the concrete syntax lacks some of the -new functions? -

- -

Modules and files

-

-GF uses suffixes to recognize different file formats. The most -important ones are: -

-
    -
  • Source files: Module name + .gf = file name -
  • Target files: each module is compiled into a .gfc file. -
- -

-Import FoodEng.gf and see what happens: -

-
-    > i FoodEng.gf
-    - compiling Food.gf...   wrote file Food.gfc 16 msec
-    - compiling FoodEng.gf...   wrote file FoodEng.gfc 20 msec
-
-

-The GF program does not only read the file -FoodEng.gf, but also all other files that it -depends on - in this case, Food.gf. -

-

-For each file that is compiled, a .gfc file -is generated. The GFC format (="GF Canonical") is the -"machine code" of GF, which is faster to process than -GF source files. When reading a module, GF decides whether -to use an existing .gfc file or to generate -a new one, by looking at modification times. -

-

-Exercise. What happens when you import FoodEng.gf for -a second time? Try this in different situations: -

-
    -
  • Right after importing it the first time (the modules are kept in - the memory of GF and need no reloading). -
  • After issuing the command empty (e), which clears the memory - of GF. -
  • After making a small change in FoodEng.gf, be it only an added space. -
  • After making a change in Food.gf. -
- - -

Multilingual grammars and translation

-

-The main advantage of separating abstract from concrete syntax is that -one abstract syntax can be equipped with many concrete syntaxes. -A system with this property is called a multilingual grammar. -

-

-Multilingual grammars can be used for applications such as -translation. Let us build an Italian concrete syntax for -Food and then test the resulting -multilingual grammar. -

- -

An Italian concrete syntax

-
-  concrete FoodIta of Food = {
-  
-    lincat
-      S, Item, Kind, Quality = {s : Str} ;
-  
-    lin
-      Is item quality = {s = item.s ++ "è" ++ quality.s} ;
-      This kind = {s = "questo" ++ kind.s} ;
-      That kind = {s = "quello" ++ kind.s} ;
-      QKind quality kind = {s = kind.s ++ quality.s} ;
-      Wine = {s = "vino"} ;
-      Cheese = {s = "formaggio"} ;
-      Fish = {s = "pesce"} ;
-      Very quality = {s = "molto" ++ quality.s} ;
-      Fresh = {s = "fresco"} ;
-      Warm = {s = "caldo"} ;
-      Italian = {s = "italiano"} ;
-      Expensive = {s = "caro"} ;
-      Delicious = {s = "delizioso"} ;
-      Boring = {s = "noioso"} ;
-  
-  }
-
-

-

-Exercise. Write a concrete syntax of Food for some other language. -You will probably end up with grammatically incorrect output - but don't -worry about this yet. -

-

-Exercise. If you have written Food for German, Swedish, or some -other language, test with random or exhaustive generation what constructs -come out incorrect, and prepare a list of those ones that cannot be helped -with the currently available fragment of GF. -

- -

Using a multilingual grammar

-

-Import the two grammars in the same GF session. -

-
-    > i FoodEng.gf
-    > i FoodIta.gf
-
-

-Try generation now: -

-
-    > gr | l
-    quello formaggio molto noioso è italiano
-  
-    > gr | l -lang=FoodEng
-    this fish is warm
-
-

-Translate by using a pipe: -

-
-    > p -lang=FoodEng "this cheese is very delicious" | l -lang=FoodIta
-    questo formaggio è molto delizioso
-
-

-Generate a multilingual treebank, i.e. a set of trees with their -translations in different languages: -

-
-    > gr -number=2 | tree_bank
-  
-    Is (That Cheese) (Very Boring)
-    quello formaggio è molto noioso
-    that cheese is very boring
-  
-    Is (That Cheese) Fresh
-    quello formaggio è fresco
-    that cheese is fresh
-
-

-The lang flag tells GF which concrete syntax to use in parsing and -linearization. By default, the flag is set to the last-imported grammar. -To see what grammars are in scope and which is the main one, use the command -print_options = po: -

-
-    > print_options
-    main abstract :     Food
-    main concrete :     FoodIta
-    actual concretes :  FoodIta FoodEng
-
-

-You can change the main grammar by the command change_main = cm: -

-
-    > change_main FoodEng
-    main abstract :     Food
-    main concrete :     FoodEng
-    actual concretes :  FoodIta FoodEng
-
-

- -

Translation session

-

-If translation is what you want to do with a set of grammars, a convenient -way to do it is to open a translation_session = ts. In this session, -you can translate between all the languages that are in scope. -A dot . terminates the translation session. -

-
-    > ts
-  
-    trans> that very warm cheese is boring
-    quello formaggio molto caldo è noioso
-    that very warm cheese is boring
-  
-    trans> questo vino molto italiano è molto delizioso
-    questo vino molto italiano è molto delizioso
-    this very Italian wine is very delicious
-  
-    trans> .
-    >
-
-

- -

Translation quiz

-

-This is a simple language exercise that can be automatically -generated from a multilingual grammar. The system generates a set of -random sentences, displays them in one language, and checks the user's -answer given in another language. The command translation_quiz = tq -makes this in a subshell of GF. -

-
-    > translation_quiz FoodEng FoodIta
-  
-    Welcome to GF Translation Quiz.
-    The quiz is over when you have done at least 10 examples
-    with at least 75 % success.
-    You can interrupt the quiz by entering a line consisting of a dot ('.').
-  
-    this fish is warm
-    questo pesce è caldo
-    > Yes.
-    Score 1/1
-  
-    this cheese is Italian
-    questo formaggio è noioso
-    > No, not questo formaggio è noioso, but
-    questo formaggio è italiano
-  
-    Score 1/2
-    this fish is expensive
-
-

-You can also generate a list of translation exercises and save it in a -file for later use, by the command translation_list = tl -

-
-    > translation_list -number=25 FoodEng FoodIta | write_file transl.txt
-
-

-The number flag gives the number of sentences generated. -

- -

Grammar architecture

- -

Extending a grammar

-

-The module system of GF makes it possible to extend a -grammar in different ways. The syntax of extension is -shown by the following example. We extend Food by -adding a category of questions and two new functions. -

-
-    abstract Morefood = Food ** {
-      cat
-        Question ;
-      fun
-        QIs : Item -> Quality -> Question ;
-        Pizza : Kind ;
-        
-    }
-
-

-Parallel to the abstract syntax, extensions can -be built for concrete syntaxes: -

-
-    concrete MorefoodEng of Morefood = FoodEng ** {
-      lincat
-        Question = {s : Str} ;
-      lin
-        QIs item quality = {s = "is" ++ item.s ++ quality.s} ;
-        Pizza = {s = "pizza"} ;
-    }
-
-

-The effect of extension is that all of the contents of the extended -and extending module are put together. We also say that the new -module inherits the contents of the old module. -

- -

Multiple inheritance

-

-Specialized vocabularies can be represented as small grammars that -only do "one thing" each. For instance, the following are grammars -for fruit and mushrooms -

-
-    abstract Fruit = {
-      cat Fruit ;
-      fun Apple, Peach : Fruit ;
-    }
-  
-    abstract Mushroom = {
-      cat Mushroom ;
-      fun Cep, Agaric : Mushroom ;
-    }
-
-

-They can afterwards be combined into bigger grammars by using -multiple inheritance, i.e. extension of several grammars at the -same time: -

-
-    abstract Foodmarket = Food, Fruit, Mushroom ** {
-      fun 
-        FruitKind    : Fruit    -> Kind ;
-        MushroomKind : Mushroom -> Kind ;
-      }
-
-

-At this point, you would perhaps like to go back to -Food and take apart Wine to build a special -Drink module. -

- -

Visualizing module structure

-

-When you have created all the abstract syntaxes and -one set of concrete syntaxes needed for Foodmarket, -your grammar consists of eight GF modules. To see how their -dependences look like, you can use the command -visualize_graph = vg, -

-
-    > visualize_graph
-
-

-and the graph will pop up in a separate window. -

-

-The graph uses -

-
    -
  • oval boxes for abstract modules -
  • square boxes for concrete modules -
  • black-headed arrows for inheritance -
  • white-headed arrows for the concrete-of-abstract relation -
- -

- -

-

-Just as the visualize_tree = vt command, the open source tools -Ghostview and Graphviz are needed. -

- -

System commands

-

-To document your grammar, you may want to print the -graph into a file, e.g. a .png file that -can be included in an HTML document. You can do this -by first printing the graph into a file .dot and then -processing this file with the dot program (from the Graphviz package). -

-
-    > pm -printer=graph | wf Foodmarket.dot
-    > ! dot -Tpng Foodmarket.dot > Foodmarket.png
-
-

-The latter command is a Unix command, issued from GF by using the -shell escape symbol !. The resulting graph was shown in the previous section. -

-

-The command print_multi = pm is used for printing the current multilingual -grammar in various formats, of which the format -printer=graph just -shows the module dependencies. Use help to see what other formats -are available: -

-
-    > help pm
-    > help -printer
-    > help help
-
-

-Another form of system commands are those usable in GF pipes. The escape symbol -is then ?. -

-
-    > generate_trees | ? wc
-
-

- -

Resource modules

- -

The golden rule of functional programming

-

-In comparison to the .cf format, the .gf format looks rather -verbose, and demands lots more characters to be written. You have probably -done this by the copy-paste-modify method, which is a common way to -avoid repeating work. -

-

-However, there is a more elegant way to avoid repeating work than the copy-and-paste -method. The golden rule of functional programming says that -

-
    -
  • whenever you find yourself programming by copy-and-paste, write a function instead. -
- -

-A function separates the shared parts of different computations from the -changing parts, its arguments, or parameters. -In functional programming languages, such as -Haskell, it is possible to share much more -code with functions than in imperative languages such as C and Java. -

- -

Operation definitions

-

-GF is a functional programming language, not only in the sense that -the abstract syntax is a system of functions (fun), but also because -functional programming can be used to define concrete syntax. This is -done by using a new form of judgement, with the keyword oper (for -operation), distinct from fun for the sake of clarity. -Here is a simple example of an operation: -

-
-    oper ss : Str -> {s : Str} = \x -> {s = x} ;
-
-

-The operation can be applied to an argument, and GF will -compute the application into a value. For instance, -

-
-    ss "boy"  ===>  {s = "boy"}
-
-

-(We use the symbol ===> to indicate how an expression is -computed into a value; this symbol is not a part of GF) -

-

-Thus an oper judgement includes the name of the defined operation, -its type, and an expression defining it. As for the syntax of the defining -expression, notice the lambda abstraction form \x -> t of -the function. -

- -

The ``resource`` module type

-

-Operator definitions can be included in a concrete syntax. -But they are not really tied to a particular set of linearization rules. -They should rather be seen as resources -usable in many concrete syntaxes. -

-

-The resource module type can be used to package -oper definitions into reusable resources. Here is -an example, with a handful of operations to manipulate -strings and records. -

-
-    resource StringOper = {
-      oper
-        SS : Type = {s : Str} ;
-        ss : Str -> SS = \x -> {s = x} ;
-        cc : SS -> SS -> SS = \x,y -> ss (x.s ++ y.s) ;
-        prefix : Str -> SS -> SS = \p,x -> ss (p ++ x.s) ;
-    }
-
-

-Resource modules can extend other resource modules, in the -same way as modules of other types can extend modules of the -same type. Thus it is possible to build resource hierarchies. -

- -

Opening a resource

-

-Any number of resource modules can be -opened in a concrete syntax, which -makes definitions contained -in the resource usable in the concrete syntax. Here is -an example, where the resource StringOper is -opened in a new version of FoodEng. -

-
-    concrete Food2Eng of Food = open StringOper in {
-  
-    lincat
-      S, Item, Kind, Quality = SS ;
-  
-    lin
-      Is item quality = cc item (prefix "is" quality) ;
-      This k = prefix "this" k ;
-      That k = prefix "that" k ;
-      QKind k q = cc k q ;
-      Wine = ss "wine" ;
-      Cheese = ss "cheese" ;
-      Fish = ss "fish" ;
-      Very = prefix "very" ;
-      Fresh = ss "fresh" ;
-      Warm = ss "warm" ;
-      Italian = ss "Italian" ;
-      Expensive = ss "expensive" ;
-      Delicious = ss "delicious" ;
-      Boring = ss "boring" ;
-  
-    }
-
-

-Exercise. Use the same string operations to write FoodIta -more concisely. -

- -

Partial application

-

-GF, like Haskell, permits partial application of -functions. An example of this is the rule -

-
-    lin This k = prefix "this" k ;
-
-

-which can be written more concisely -

-
-    lin This = prefix "this" ;
-
-

-The first form is perhaps more intuitive to write -but, once you get used to partial application, you will appreciate its -conciseness and elegance. The logic of partial application -is known as currying, with a reference to Haskell B. Curry. -The idea is that any n-place function can be defined as a 1-place -function whose value is an n-1 -place function. Thus -

-
-    oper prefix : Str -> SS -> SS ;
-
-

-can be used as a 1-place function that takes a Str into a -function SS -> SS. The expected linearization of This is exactly -a function of such a type, operating on an argument of type Kind -whose linearization is of type SS. Thus we can define the -linearization directly as prefix "this". -

-

-Exercise. Define an operation infix analogous to prefix, -such that it allows you to write -

-
-    lin Is = infix "is" ;
-
-

- -

Testing resource modules

-

-To test a resource module independently, you must import it -with the flag -retain, which tells GF to retain oper definitions -in the memory; the usual behaviour is that oper definitions -are just applied to compile linearization rules -(this is called inlining) and then thrown away. -

-
-    > i -retain StringOper.gf
-
-

-The command compute_concrete = cc computes any expression -formed by operations and other GF constructs. For example, -

-
-    > compute_concrete prefix "in" (ss "addition")
-    {
-      s : Str = "in" ++ "addition"
-    }
-
-

- -

Division of labour

-

-Using operations defined in resource modules is a -way to avoid repetitive code. -In addition, it enables a new kind of modularity -and division of labour in grammar writing: grammarians familiar with -the linguistic details of a language can make their knowledge -available through resource grammar modules, whose users only need -to pick the right operations and not to know their implementation -details. -

-

-In the following sections, we will go through some -such linguistic details. The programming constructs needed when -doing this are useful for all GF programmers, even if they don't -hand-code the linguistics of their applications but get them -from libraries. It is also useful to know something about the -linguistic concepts of inflection, agreement, and parts of speech. -

- -

Morphology

-

-Suppose we want to say, with the vocabulary included in -Food.gf, things like -

-
-    all Italian wines are delicious
-
-

-The new grammatical facility we need are the plural forms -of nouns and verbs (wines, are), as opposed to their -singular forms. -

-

-The introduction of plural forms requires two things: -

-
    -
  • the inflection of nouns and verbs in singular and plural -
  • the agreement of the verb to subject: - the verb must have the same number as the subject -
- -

-Different languages have different rules of inflection and agreement. -For instance, Italian has also agreement in gender (masculine vs. feminine). -We want to express such special features of languages in the -concrete syntax while ignoring them in the abstract syntax. -

-

-To be able to do all this, we need one new judgement form -and many new expression forms. -We also need to generalize linearization types -from strings to more complex types. -

-

-Exercise. Make a list of the possible forms that nouns, -adjectives, and verbs can have in some languages that you know. -

- -

Parameters and tables

-

-We define the parameter type of number in Englisn by -using a new form of judgement: -

-
-    param Number = Sg | Pl ;
-
-

-To express that Kind expressions in English have a linearization -depending on number, we replace the linearization type {s : Str} -with a type where the s field is a table depending on number: -

-
-    lincat Kind = {s : Number => Str} ;
-
-

-The table type Number => Str is in many respects similar to -a function type (Number -> Str). The main difference is that the -argument type of a table type must always be a parameter type. This means -that the argument-value pairs can be listed in a finite table. The following -example shows such a table: -

-
-    lin Cheese = {s = table {
-      Sg => "cheese" ;
-      Pl => "cheeses"
-      }
-    } ;
-
-

-The table consists of branches, where a pattern on the -left of the arrow => is assigned a value on the right. -

-

-The application of a table to a parameter is done by the selection -operator !. For instance, -

-
-     table {Sg => "cheese" ; Pl => "cheeses"} ! Pl
-
-

-is a selection that computes into the value "cheeses". -This computation is performed by pattern matching: return -the value from the first branch whose pattern matches the -selection argument. Thus -

-
-     table {Sg => "cheese" ; Pl => "cheeses"} ! Pl 
-     ===> "cheeses"
-
-

-

-Exercise. In a previous exercise, we make a list of the possible -forms that nouns, adjectives, and verbs can have in some languages that -you know. Now take some of the results and implement them by -using parameter type definitions and tables. Write them into a resource -module, which you can test by using the command compute_concrete. -

- -

Inflection tables and paradigms

-

-All English common nouns are inflected in number, most of them in the -same way: the plural form is obtained from the singular by adding the -ending s. This rule is an example of -a paradigm - a formula telling how the inflection -forms of a word are formed. -

-

-From the GF point of view, a paradigm is a function that takes a lemma - -also known as a dictionary form - and returns an inflection -table of desired type. Paradigms are not functions in the sense of the -fun judgements of abstract syntax (which operate on trees and not -on strings), but operations defined in oper judgements. -The following operation defines the regular noun paradigm of English: -

-
-    oper regNoun : Str -> {s : Number => Str} = \x -> {
-      s = table {
-        Sg => x ;
-        Pl => x + "s"
-        }
-      } ;
-
-

-The gluing operator + tells that -the string held in the variable x and the ending "s" -are written together to form one token. Thus, for instance, -

-
-    (regNoun "cheese").s ! Pl  ---> "cheese" + "s"  --->  "cheeses"
-
-

-

-Exercise. Identify cases in which the regNoun paradigm does not -apply in English, and implement some alternative paradigms. -

-

-Exercise. Implement a paradigm for regular verbs in English. -

-

-Exercise. Implement some regular paradigms for other languages you have -considered in earlier exercises. -

- -

Worst-case functions and data abstraction

-

-Some English nouns, such as mouse, are so irregular that -it makes no sense to see them as instances of a paradigm. Even -then, it is useful to perform data abstraction from the -definition of the type Noun, and introduce a constructor -operation, a worst-case function for nouns: -

-
-    oper mkNoun : Str -> Str -> Noun = \x,y -> {
-      s = table {
-        Sg => x ;
-        Pl => y
-        }
-      } ;
-
-

-Thus we can define -

-
-    lin Mouse = mkNoun "mouse" "mice" ;
-
-

-and -

-
-    oper regNoun : Str -> Noun = \x -> 
-      mkNoun x (x + "s") ;
-
-

-instead of writing the inflection tables explicitly. -

-

-The grammar engineering advantage of worst-case functions is that -the author of the resource module may change the definitions of -Noun and mkNoun, and still retain the -interface (i.e. the system of type signatures) that makes it -correct to use these functions in concrete modules. In programming -terms, Noun is then treated as an abstract datatype. -

- -

A system of paradigms using Prelude operations

-

-In addition to the completely regular noun paradigm regNoun, -some other frequent noun paradigms deserve to be -defined, for instance, -

-
-    sNoun : Str -> Noun = \kiss  -> mkNoun kiss (kiss + "es") ;
-
-

-What about nouns like fly, with the plural flies? The already -available solution is to use the longest common prefix -fl (also known as the technical stem) as argument, and define -

-
-    yNoun : Str -> Noun = \fl -> mkNoun (fl + "y") (fl + "ies") ;
-
-

-But this paradigm would be very unintuitive to use, because the technical stem -is not an existing form of the word. A better solution is to use -the lemma and a string operator init, which returns the initial segment (i.e. -all characters but the last) of a string: -

-
-    yNoun : Str -> Noun = \fly -> mkNoun fly (init fly + "ies") ;  
-
-

-The operation init belongs to a set of operations in the -resource module Prelude, which therefore has to be -opened so that init can be used. Its dual is last: -

-
-    > cc init "curry"
-    "curr"
-  
-    > cc last "curry"
-    "y"
-
-

-As generalizations of the library functions init and last, GF has -two predefined funtions: -Predef.dp, which "drops" suffixes of any length, -and Predef.tk, which "takes" a prefix -just omitting a number of characters from the end. For instance, -

-
-    > cc Predef.tk 3 "worried"
-    "worr"
-    > cc Predef.dp 3 "worried"
-    "ied"
-
-

-The prefix Predef is given to a handful of functions that could -not be defined internally in GF. They are available in all modules -without explicit open of the module Predef. -

- -

Pattern matching

-

-We have so far built all expressions of the table form -from branches whose patterns are constants introduced in -param definitions, as well as constant strings. -But there are more expressive patterns. Here is a summary of the possible forms: -

-
    -
  • a variable pattern (identifier other than constant parameter) matches anything -
  • the wild card _ matches anything -
  • a string literal pattern, e.g. "s", matches the same string -
  • a disjunctive pattern P | ... | Q matches anything that - one of the disjuncts matches -
- -

-Pattern matching is performed in the order in which the branches -appear in the table: the branch of the first matching pattern is followed. -

-

-As syntactic sugar, one-branch tables can be written concisely, -

-
-    \\P,...,Q => t  ===  table {P => ... table {Q => t} ...}
-
-

-Finally, the case expressions common in functional -programming languages are syntactic sugar for table selections: -

-
-    case e of {...} ===  table {...} ! e
-
-

- -

An intelligent noun paradigm using pattern matching

-

-It may be hard for the user of a resource morphology to pick the right -inflection paradigm. A way to help this is to define a more intelligent -paradigm, which chooses the ending by first analysing the lemma. -The following variant for English regular nouns puts together all the -previously shown paradigms, and chooses one of them on the basis of -the final letter of the lemma (found by the prelude operator last). -

-
-    regNoun : Str -> Noun = \s -> case last s of {
-      "s" | "z" => mkNoun s (s + "es") ;
-      "y"       => mkNoun s (init s + "ies") ;
-      _         => mkNoun s (s + "s")
-      } ;
-
-

-This definition displays many GF expression forms not shown befores; -these forms are explained in the next section. -

-

-The paradigms regNoun does not give the correct forms for -all nouns. For instance, mouse - mice and -fish - fish must be given by using mkNoun. -Also the word boy would be inflected incorrectly; to prevent -this, either use mkNoun or modify -regNoun so that the "y" case does not -apply if the second-last character is a vowel. -

-

-Exercise. Extend the regNoun paradigm so that it takes care -of all variations there are in English. Test it with the nouns -ax, bamboo, boy, bush, hero, match. -Hint. The library functions Predef.dp and Predef.tk -are useful in this task. -

-

-Exercise. The same rules that form plural nouns in English also -apply in the formation of third-person singular verbs. -Write a regular verb paradigm that uses this idea, but first -rewrite regNoun so that the analysis needed to build s-forms -is factored out as a separate oper, which is shared with -regVerb. -

- -

Morphological resource modules

-

-A common idiom is to -gather the oper and param definitions -needed for inflecting words in -a language into a morphology module. Here is a simple -example, MorphoEng. -

-
-    --# -path=.:prelude
-  
-    resource MorphoEng = open Prelude in {
-  
-      param
-        Number = Sg | Pl ;
-  
-      oper
-        Noun, Verb : Type = {s : Number => Str} ;
-  
-        mkNoun : Str -> Str -> Noun = \x,y -> {
-          s = table {
-            Sg => x ;
-            Pl => y
-            }
-          } ;
-  
-        regNoun : Str -> Noun = \s -> case last s of {
-          "s" | "z" => mkNoun s (s + "es") ;
-          "y"       => mkNoun s (init s + "ies") ;
-          _         => mkNoun s (s + "s")
-          } ;
-  
-        mkVerb : Str -> Str -> Verb = \x,y -> mkNoun y x ;
-  
-        regVerb : Str -> Verb = \s -> case last s of {
-          "s" | "z" => mkVerb s (s + "es") ;
-          "y"       => mkVerb s (init s + "ies") ;
-          "o"       => mkVerb s (s + "es") ;
-          _         => mkVerb s (s + "s")
-          } ;
-    }
-
-

-The first line gives as a hint to the compiler the -search path needed to find all the other modules that the -module depends on. The directory prelude is a subdirectory of -GF/lib; to be able to refer to it in this simple way, you can -set the environment variable GF_LIB_PATH to point to this -directory. -

- -

Using parameters in concrete syntax

-

-We can now enrich the concrete syntax definitions to -comprise morphology. This will involve a more radical -variation between languages (e.g. English and Italian) -then just the use of different words. In general, -parameters and linearization types are different in -different languages - but this does not prevent the -use of a common abstract syntax. -

- -

Parametric vs. inherent features, agreement

-

-The rule of subject-verb agreement in English says that the verb -phrase must be inflected in the number of the subject. This -means that a noun phrase (functioning as a subject), inherently -has a number, which it passes to the verb. The verb does not -have a number, but must be able to receive whatever number the -subject has. This distinction is nicely represented by the -different linearization types of noun phrases and verb phrases: -

-
-    lincat NP = {s : Str ; n : Number} ;
-    lincat VP = {s : Number => Str} ;
-
-

-We say that the number of NP is an inherent feature, -whereas the number of NP is a variable feature (or a -parametric feature). -

-

-The agreement rule itself is expressed in the linearization rule of -the predication function: -

-
-    lin PredVP np vp = {s = np.s ++ vp.s ! np.n} ;
-
-

-The following section will present -FoodsEng, assuming the abstract syntax Foods -that is similar to Food but also has the -plural determiners These and Those. -The reader is invited to inspect the way in which agreement works in -the formation of sentences. -

- -

English concrete syntax with parameters

-

-The grammar uses both -Prelude and -MorphoEng. -We will later see how to make the grammar even -more high-level by using a resource grammar library -and parametrized modules. -

-
-  --# -path=.:resource:prelude
-  
-  concrete FoodsEng of Foods = open Prelude, MorphoEng in {
-  
-    lincat
-      S, Quality = SS ; 
-      Kind = {s : Number => Str} ; 
-      Item = {s : Str ; n : Number} ; 
-  
-    lin
-      Is item quality = ss (item.s ++ (mkVerb "are" "is").s ! item.n ++ quality.s) ;
-      This  = det Sg "this" ;
-      That  = det Sg "that" ;
-      These = det Pl "these" ;
-      Those = det Pl "those" ;
-      QKind quality kind = {s = \\n => quality.s ++ kind.s ! n} ;
-      Wine = regNoun "wine" ;
-      Cheese = regNoun "cheese" ;
-      Fish = mkNoun "fish" "fish" ;
-      Very = prefixSS "very" ;
-      Fresh = ss "fresh" ;
-      Warm = ss "warm" ;
-      Italian = ss "Italian" ;
-      Expensive = ss "expensive" ;
-      Delicious = ss "delicious" ;
-      Boring = ss "boring" ;
-  
-    oper
-      det : Number -> Str -> Noun -> {s : Str ; n : Number} = \n,d,cn -> {
-        s = d ++ cn.s ! n ;
-        n = n
-        } ;
-  }
-
-

- -

Hierarchic parameter types

-

-The reader familiar with a functional programming language such as -Haskell must have noticed the similarity -between parameter types in GF and algebraic datatypes (data definitions -in Haskell). The GF parameter types are actually a special case of algebraic -datatypes: the main restriction is that in GF, these types must be finite. -(It is this restriction that makes it possible to invert linearization rules into -parsing methods.) -

-

-However, finite is not the same thing as enumerated. Even in GF, parameter -constructors can take arguments, provided these arguments are from other -parameter types - only recursion is forbidden. Such parameter types impose a -hierarchic order among parameters. They are often needed to define -the linguistically most accurate parameter systems. -

-

-To give an example, Swedish adjectives -are inflected in number (singular or plural) and -gender (uter or neuter). These parameters would suggest 2*2=4 different -forms. However, the gender distinction is done only in the singular. Therefore, -it would be inaccurate to define adjective paradigms using the type -Gender => Number => Str. The following hierarchic definition -yields an accurate system of three adjectival forms. -

-
-    param AdjForm = ASg Gender | APl ;
-    param Gender  = Utr | Neutr ;
-
-

-Here is an example of pattern matching, the paradigm of regular adjectives. -

-
-    oper regAdj : Str -> AdjForm => Str = \fin -> table {
-      ASg Utr   => fin ;
-      ASg Neutr => fin + "t" ;
-      APl       => fin + "a" ;
-      }
-
-

-A constructor can be used as a pattern that has patterns as arguments. For instance, -the adjectival paradigm in which the two singular forms are the same, -can be defined -

-
-    oper plattAdj : Str -> AdjForm => Str = \platt -> table {
-      ASg _ => platt ;
-      APl   => platt + "a" ;
-      }
-
-

- -

Morphological analysis and morphology quiz

-

-Even though morphology is in GF -mostly used as an auxiliary for syntax, it -can also be useful on its own right. The command morpho_analyse = ma -can be used to read a text and return for each word the analyses that -it has in the current concrete syntax. -

-
-    > rf bible.txt | morpho_analyse
-
-

-In the same way as translation exercises, morphological exercises can -be generated, by the command morpho_quiz = mq. Usually, -the category is set to be something else than S. For instance, -

-
-    > cd GF/lib/resource-1.0/
-    > i french/IrregFre.gf
-    > morpho_quiz -cat=V
-  
-    Welcome to GF Morphology Quiz.
-    ...
-  
-    réapparaître : VFin VCondit  Pl  P2
-    réapparaitriez
-    > No, not réapparaitriez, but
-    réapparaîtriez
-    Score 0/1
-
-

-Finally, a list of morphological exercises can be generated -off-line and saved in a -file for later use, by the command morpho_list = ml -

-
-    > morpho_list -number=25 -cat=V | wf exx.txt
-
-

-The number flag gives the number of exercises generated. -

- -

Discontinuous constituents

-

-A linearization type may contain more strings than one. -An example of where this is useful are English particle -verbs, such as switch off. The linearization of -a sentence may place the object between the verb and the particle: -he switched it off. -

-

-The following judgement defines transitive verbs as -discontinuous constituents, i.e. as having a linearization -type with two strings and not just one. -

-
-    lincat TV = {s : Number => Str ; part : Str} ;
-
-

-This linearization rule -shows how the constituents are separated by the object in complementization. -

-
-    lin PredTV tv obj = {s = \\n => tv.s ! n ++ obj.s ++ tv.part} ;
-
-

-There is no restriction in the number of discontinuous constituents -(or other fields) a lincat may contain. The only condition is that -the fields must be of finite types, i.e. built from records, tables, -parameters, and Str, and not functions. -

-

-A mathematical result -about parsing in GF says that the worst-case complexity of parsing -increases with the number of discontinuous constituents. This is -potentially a reason to avoid discontinuous constituents. -Moreover, the parsing and linearization commands only give accurate -results for categories whose linearization type has a unique Str -valued field labelled s. Therefore, discontinuous constituents -are not a good idea in top-level categories accessed by the users -of a grammar application. -

- -

Free variation

-

-Sometimes there are many alternative ways to define a concrete syntax. -For instance, the verb negation in English can be expressed both by -does not and doesn't. In linguistic terms, these expressions -are in free variation. The variants construct of GF can -be used to give a list of strings in free variation. For example, -

-
-    NegVerb verb = {s = variants {["does not"] ; "doesn't} ++ verb.s ! Pl} ;
-
-

-An empty variant list -

-
-    variants {}
-
-

-can be used e.g. if a word lacks a certain form. -

-

-In general, variants should be used cautiously. It is not -recommended for modules aimed to be libraries, because the -user of the library has no way to choose among the variants. -

- -

Overloading of operations

-

-Large libraries, such as the GF Resource Grammar Library, may define -hundreds of names, which can be unpractical -for both the library writer and the user. The writer has to invent longer -and longer names which are not always intuitive, -and the user has to learn or at least be able to find all these names. -A solution to this problem, adopted by languages such as C++, is overloading: -the same name can be used for several functions. When such a name is used, the -compiler performs overload resolution to find out which of the possible functions -is meant. The resolution is based on the types of the functions: all functions that -have the same name must have different types. -

-

-In C++, functions with the same name can be scattered everywhere in the program. -In GF, they must be grouped together in overload groups. Here is an example -of an overload group, defining four ways to define nouns in Italian: -

-
-    oper mkN = overload {
-      mkN : Str -> N                  = -- regular nouns
-      mkN : Str -> Gender -> N        = -- regular nouns with unexpected gender
-      mkN : Str -> Str -> N           = -- irregular nouns
-      mkN : Str -> Str -> Gender -> N = -- irregular nouns with unexpected gender
-    }
-
-

-All of the following uses of mkN are easy to resolve: -

-
-    lin Pizza = mkN "pizza" ;         -- Str -> N
-    lin Hand  = mkN "mano" Fem ;      -- Str -> Gender -> N
-    lin Man   = mkN "uomo" "uomini" ; -- Str -> Str -> N
-
-

- -

More constructs for concrete syntax

-

-In this chapter, we go through constructs that are not necessary in simple grammars -or when the concrete syntax relies on libraries. But they are useful when -writing advanced concrete syntax implementations, such as resource grammar libraries. -This chapter can safely be skipped if the reader prefers to continue to the -chapter on using libraries. -

- -

Local definitions

-

-Local definitions ("let expressions") are used in functional -programming for two reasons: to structure the code into smaller -expressions, and to avoid repeated computation of one and -the same expression. Here is an example, from -MorphoIta: -

-
-    oper regNoun : Str -> Noun = \vino -> 
-          let 
-            vin = init vino ;
-            o   = last vino
-          in
-          case o of {
-            "a"       => mkNoun Fem  vino (vin + "e") ;
-            "o" | "e" => mkNoun Masc vino (vin + "i") ;
-            _         => mkNoun Masc vino vino         
-            } ;
-
-

- -

Record extension and subtyping

-

-Record types and records can be extended with new fields. For instance, -in German it is natural to see transitive verbs as verbs with a case. -The symbol ** is used for both constructs. -

-
-    lincat TV = Verb ** {c : Case} ;
-  
-    lin Follow = regVerb "folgen" ** {c = Dative} ; 
-
-

-To extend a record type or a record with a field whose label it -already has is a type error. -

-

-A record type T is a subtype of another one R, if T has -all the fields of R and possibly other fields. For instance, -an extension of a record type is always a subtype of it. -

-

-If T is a subtype of R, an object of T can be used whenever -an object of R is required. For instance, a transitive verb can -be used whenever a verb is required. -

-

-Contravariance means that a function taking an R as argument -can also be applied to any object of a subtype T. -

- -

Tuples and product types

-

-Product types and tuples are syntactic sugar for record types and records: -

-
-    T1 * ... * Tn   ===   {p1 : T1 ; ... ; pn : Tn}
-    <t1, ...,  tn>  ===   {p1 = T1 ; ... ; pn = Tn}
-
-

-Thus the labels p1, p2,... are hard-coded. -

- -

Record and tuple patterns

-

-Record types of parameter types are also parameter types. -A typical example is a record of agreement features, e.g. French -

-
-    oper Agr : PType = {g : Gender ; n : Number ; p : Person} ;
-
-

-Notice the term PType rather than just Type referring to -parameter types. Every PType is also a Type, but not vice-versa. -

-

-Pattern matching is done in the expected way, but it can moreover -utilize partial records: the branch -

-
-    {g = Fem} => t
-
-

-in a table of type Agr => T means the same as -

-
-    {g = Fem ; n = _ ; p = _} => t
-
-

-Tuple patterns are translated to record patterns in the -same way as tuples to records; partial patterns make it -possible to write, slightly surprisingly, -

-
-    case <g,n,p> of {
-      <Fem> => t
-      ...
-      }
-
-

- -

Regular expression patterns

-

-To define string operations computed at compile time, such -as in morphology, it is handy to use regular expression patterns: -

-
    -
  • p + q : token consisting of p followed by q -
  • p * : token p repeated 0 or more times - (max the length of the string to be matched) -
  • - p : matches anything that p does not match -
  • x @ p : bind to x what p matches -
  • p | q : matches what either p or q matches -
- -

-The last three apply to all types of patterns, the first two only to token strings. -As an example, we give a rule for the formation of English word forms -ending with an s and used in the formation of both plural nouns and -third-person present-tense verbs. -

-
-    add_s : Str -> Str = \w -> case w of {
-      _ + "oo"                           => w + "s" ;   -- bamboo
-      _ + ("s" | "z" | "x" | "sh" | "o") => w + "es" ;  -- bus, hero
-      _ + ("a" | "o" | "u" | "e") + "y"  => w + "s" ;   -- boy
-      x + "y"                            => x + "ies" ; -- fly
-      _                                  => w + "s"     -- car
-      } ;
-
-

-Here is another example, the plural formation in Swedish 2nd declension. -The second branch uses a variable binding with @ to cover the cases where an -unstressed pre-final vowel e disappears in the plural -(nyckel-nycklar, seger-segrar, bil-bilar): -

-
-    plural2 : Str -> Str = \w -> case w of {
-      pojk + "e"                       => pojk + "ar" ;
-      nyck + "e" + l@("l" | "r" | "n") => nyck + l + "ar" ;
-      bil                              => bil + "ar"
-      } ;
-
-

-

-Semantics: variables are always bound to the first match, which is the first -in the sequence of binding lists Match p v defined as follows. In the definition, -p is a pattern and v is a value. The semantics is given in Haskell notation. -

-
-    Match (p1|p2) v = Match p1 ++ U Match p2 v
-    Match (p1+p2) s = [Match p1 s1 ++ Match p2 s2 | 
-                         i <- [0..length s], (s1,s2) = splitAt i s]
-    Match p*      s = [[]] if Match "" s ++ Match p s ++ Match (p+p) s ++... /= []
-    Match -p      v = [[]] if Match p v = []
-    Match c       v = [[]] if c == v  -- for constant and literal patterns c
-    Match x       v = [[(x,v)]]       -- for variable patterns x
-    Match x@p     v = [[(x,v)]] + M   if M = Match p v /= []
-    Match p       v = [] otherwise    -- failure
-
-

-Examples: -

-
    -
  • x + "e" + y matches "peter" with x = "p", y = "ter" -
  • x + "er"* matches "burgerer" with ``x = "burg" -
- -

-Exercise. Implement the German Umlaut operation on word stems. -The operation changes the vowel of the stressed stem syllable as follows: -a to ä, au to äu, o to ö, and u to ü. You -can assume that the operation only takes syllables as arguments. Test the -operation to see whether it correctly changes Arzt to Ärzt, -Baum to Bäum, Topf to Töpf, and Kuh to Küh. -

- -

Prefix-dependent choices

-

-Sometimes a token has different forms depending on the token -that follows. An example is the English indefinite article, -which is an if a vowel follows, a otherwise. -Which form is chosen can only be decided at run time, i.e. -when a string is actually build. GF has a special construct for -such tokens, the pre construct exemplified in -

-
-    oper artIndef : Str = 
-      pre {"a" ; "an" / strs {"a" ; "e" ; "i" ; "o"}} ;
-
-

-Thus -

-
-    artIndef ++ "cheese"  --->  "a" ++ "cheese"
-    artIndef ++ "apple"   --->  "an" ++ "apple"
-
-

-This very example does not work in all situations: the prefix -u has no general rules, and some problematic words are -euphemism, one-eyed, n-gram. It is possible to write -

-
-    oper artIndef : Str = 
-      pre {"a" ; 
-           "a"  / strs {"eu" ; "one"} ;
-           "an" / strs {"a" ; "e" ; "i" ; "o" ; "n-"}
-          } ;
-
-

- -

Predefined types

-

-GF has the following predefined categories in abstract syntax: -

-
-    cat Int ;     -- integers, e.g. 0, 5, 743145151019
-    cat Float ;   -- floats,   e.g. 0.0, 3.1415926
-    cat String ;  -- strings,  e.g. "", "foo", "123"
-
-

-The objects of each of these categories are literals -as indicated in the comments above. No fun definition -can have a predefined category as its value type, but -they can be used as arguments. For example: -

-
-    fun StreetAddress : Int -> String -> Address ;
-    lin StreetAddress number street = {s = number.s ++ street.s} ;
-  
-    -- e.g. (StreetAddress 10 "Downing Street") : Address
-
-

-FIXME: The linearization type is {s : Str} for all these categories. -

- -

Using the resource grammar library

-

-In this chapter, we will take a look at the GF resource grammar library. -We will use the library to implement a slightly extended Food grammar -and port it to some new languages. -

- -

The coverage of the library

-

-The GF Resource Grammar Library contains grammar rules for -10 languages (in addition, 2 languages are available as incomplete -implementations, and a few more are under construction). Its purpose -is to make these rules available for application programmers, -who can thereby concentrate on the semantic and stylistic -aspects of their grammars, without having to think about -grammaticality. The targeted level of application grammarians -is that of a skilled programmer with -a practical knowledge of the target languages, but without -theoretical knowledge about their grammars. -Such a combination of -skills is typical of programmers who, for instance, want to localize -software to new languages. -

-

-The current resource languages are -

-
    -
  • Arabic (incomplete) -
  • Catalan (incomplete) -
  • Danish -
  • English -
  • Finnish -
  • French -
  • German -
  • Italian -
  • Norwegian -
  • Russian -
  • Spanish -
  • Swedish -
- -

-The first three letters (Eng etc) are used in grammar module names. -The incomplete Arabic and Catalan implementations are -enough to be used in many applications; they both contain, amoung other -things, complete inflectional morphology. -

- -

The resource API

-

-The resource library API is devided into language-specific -and language-independent parts. To put it roughly, -

-
    -
  • the syntax API is language-independent, i.e. has the same types and functions for all - languages. - Its name is SyntaxL for each language L -
  • the morphology API is language-specific, i.e. has partly different types and functions - for different languages. - Its name is ParadigmsL for each language L -
- -

-A full documentation of the API is available on-line in the -resource synopsis. For our -examples, we will only need a fragment of the full API. -

-

-In the first examples, -we will make use of the following categories, from the module Syntax. -

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
CategoryExplanationExample
Uttsentence, question, word..."be quiet"
Advverb-phrase-modifying adverb,"in the house"
AdAadjective-modifying adverb,"very"
Sdeclarative sentence"she lived here"
Cldeclarative clause, with all tenses"she looks at this"
APadjectival phrase"very warm"
CNcommon noun (without determiner)"red house"
NPnoun phrase (subject or object)"the red house"
Detdeterminer phrase"those seven"
Predetpredeterminer"only"
Quantquantifier with both sg and pl"this/these"
Preppreposition, or just case"in"
Aone-place adjective"warm"
Ncommon noun"house"
- -

-

-We will need the following syntax rules from Syntax. -

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
FunctionTypeExample
mkUttS -> UttJohn walked
mkUttCl -> UttJohn walks
mkClNP -> AP -> ClJohn is very old
mkNPDet -> CN -> NPthe first old man
mkNPPredet -> NP -> NPonly John
mkDetQuant -> Detthis
mkCNN -> CNhouse
mkCNAP -> CN -> CNvery big blue house
mkAPA -> APold
mkAPAdA -> AP -> APvery very old
- -

-

-We will also need the following structural words from Syntax. -

- - - - - - - - - - - - - - - - - - - - - - - - - - -
FunctionTypeExample
all_PredetPredetall
defPlDetDetthe (houses)
this_QuantQuantthis
very_AdAAdAvery
- -

-

-For French, we will use the following part of ParadigmsFre. -

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
FunctionTypeExample
GenderType-
masculineGender-
feminineGender-
mkN(cheval : Str) -> N-
mkN(foie : Str) -> Gender -> N-
mkA(cher : Str) -> A-
mkA(sec,seche : Str) -> A-
- -

-

-For German, we will use the following part of ParadigmsGer. -

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
FunctionTypeExample
GenderType-
masculineGender-
feminineGender-
neuterGender-
mkN(Stufe : Str) -> N-
mkN(Bild,Bilder : Str) -> Gender -> N-
mkAStr -> A-
mkA(gut,besser,beste : Str) -> Agut,besser,beste
- -

-

-Exercise. Try out the morphological paradigms in different languages. Do -in this way: -

-
-    > i -path=alltenses:prelude -retain alltenses/ParadigmsGer.gfr
-    > cc mkN "Farbe"
-    > cc mkA "gut" "besser" "beste"
-
-

- -

Example: French

-

-We start with an abstract syntax that is like Food before, but -has a plural determiner (all wines) and some new nouns that will -need different genders in most languages. -

-
-    abstract Food = {
-    cat
-      S ; Item ; Kind ; Quality ;
-    fun
-      Is : Item -> Quality -> S ;
-      This, All : Kind -> Item ;
-      QKind : Quality -> Kind -> Kind ;
-      Wine, Cheese, Fish, Beer, Pizza : Kind ;
-      Very : Quality -> Quality ;
-      Fresh, Warm, Italian, Expensive, Delicious, Boring : Quality ;
-    }
-
-

-The French implementation opens SyntaxFre and ParadigmsFre -to get access to the resource libraries needed. In order to find -the libraries, a path directive is prepended; it is interpreted -relative to the environment variable GF_LIB_PATH. -

-
-    --# -path=.:present:prelude
-  
-    concrete FoodFre of Food = open SyntaxFre,ParadigmsFre in {
-    lincat
-      S = Utt ; 
-      Item = NP ;
-      Kind = CN ;
-      Quality = AP ;
-    lin
-      Is item quality = mkUtt (mkCl item quality) ;
-      This kind = mkNP (mkDet this_Quant) kind ;
-      All kind = mkNP all_Predet (mkNP defPlDet kind) ;
-      QKind quality kind = mkCN quality kind ;
-      Wine = mkCN (mkN "vin") ;
-      Beer = mkCN (mkN "bière") ;
-      Pizza = mkCN (mkN "pizza" feminine) ;
-      Cheese = mkCN (mkN "fromage" masculine) ;
-      Fish = mkCN (mkN "poisson") ;
-      Very quality = mkAP very_AdA quality ;
-      Fresh = mkAP (mkA "frais" "fraîche") ;
-      Warm = mkAP (mkA "chaud") ;
-      Italian = mkAP (mkA "italien") ;
-      Expensive = mkAP (mkA "cher") ;
-      Delicious = mkAP (mkA "délicieux") ;
-      Boring = mkAP (mkA "ennuyeux") ;
-    }
-
-

-The lincat definitions in FoodFre assign resource categories -to application categories. In a sense, the application categories -are semantic, as they correspond to concepts in the grammar application, -whereas the resource categories are syntactic: they give the linguistic -means to express concepts in any application. -

-

-The lin definitions likewise assign resource functions to application -functions. Under the hood, there is a lot of matching with parameters to -take care of word order, inflection, and agreement. But the user of the -library sees nothing of this: the only parameters you need to give are -the genders of some nouns, which cannot be correctly inferred from the word. -

-

-In French, for example, the one-argument mkN assigns the noun the feminine -gender if and only if it ends with an e. Therefore the words fromage and -pizza are given genders. One can of course always give genders manually, to -be on the safe side. -

-

-As for inflection, the one-argument adjective pattern mkA takes care of -completely regular adjective such as chaud-chaude, but also of special -cases such as italien-italienne, cher-chère, and délicieux-délicieuse. -But it cannot form frais-fraîche properly. Once again, you can give more -forms to be on the safe side. You can also test the paradigms in the GF -program. -

-

-Exercise. Compile the grammar FoodFre and generate and parse some sentences. -

-

-Exercise. Write a concrete syntax of Food for English or some other language -included in the resource library. You can also compare the output with the hand-written -grammars presented earlier in this tutorial. -

-

-Exercise. In particular, try to write a concrete syntax for Italian, even if -you don't know Italian. What you need to know is that "beer" is birra and -"pizza" is pizza, and that all the nouns and adjectives in the grammar -are regular. -

- -

Functor implementation of multilingual grammars

-

-If you did the exercise of writing a concrete syntax of Food for some other -language, you probably noticed that much of the code looks exactly the same -as for French. The immediate reason for this is that the Syntax API is the -same for all languages; the deeper reason is that all languages (at least those -in the resource package) implement the same syntactic structures and tend to use them -in similar ways. Thus it is only the lexical parts of a concrete syntax that -you need to write anew for a new language. In brief, -

-
    -
  • first copy the concrete syntax for one language -
  • then change the words (the strings and perhaps some paradigms) -
- -

-But programming by copy-and-paste is not worthy of a functional programmer. -Can we write a function that takes care of the shared parts of grammar modules? -Yes, we can. It is not a function in the fun or oper sense, but -a function operating on modules, called a functor. This construct -is familiar from the functional languages ML and OCaml, but it does not -exist in Haskell. It also bears some resemblance to templates in C++. -Functors are also known as parametrized modules. -

-

-In GF, a functor is a module that opens one or more interfaces. -An interface is a module similar to a resource, but it only -contains the types of opers, not their definitions. You can think -of an interface as a kind of a record type. Thus a functor is a kind -of a function taking records as arguments and producins a module -as value. -

-

-Let us look at a functor implementation of the Food grammar. -Consider its module header first: -

-
-    incomplete concrete FoodI of Food = open Syntax, LexFood in
-
-

-In the functor-function analogy, FoodI would be presented as a function -with the following type signature: -

-
-    FoodI : instance of Syntax -> instance of LexFood -> concrete of Food
-
-

-It takes as arguments two interfaces: -

-
    -
  • Syntax, the resource grammar interface -
  • LexFood, the domain-specific lexicon interface -
- -

-Functors opening Syntax and a domain lexicon interface are in fact -so typical in GF applications, that this structure could be called a design patter -for GF grammars. The idea in this pattern is, again, that -the languages use the same syntactic structures but different words. -

-

-Before going to the details of the module bodies, let us look at how functors -are concretely used. An interface has a header such as -

-
-    interface LexFood = open Syntax in
-
-

-To give an instance of it means that all opers are given definitione (of -appropriate types). For example, -

-
-    instance LexFoodGer of LexFood = open SyntaxGer, ParadigmsGer in
-
-

-Notice that when an interface opens an interface, such as Syntax, then its instance -opens an instance of it. But the instance may also open some resources - typically, -a domain lexicon instance opens a Paradigms module. -

-

-In the function-functor analogy, we now have -

-
-    SyntaxGer  : instance of Syntax
-    LexFoodGer : instance of LexFood  
-
-

-Thus we can complete the German implementation by "applying" the functor: -

-
-    FoodI SyntaxGer LexFoodGer : concrete of Food
-
-

-The GF syntax for doing so is -

-
-    concrete FoodGer of Food = FoodI with 
-      (Syntax = SyntaxGer),
-      (LexFood = LexFoodGer) ;
-
-

-Notice that this is the complete module, not just a header of it. -The module body is received from FoodI, by instantiating the -interface constants with their definitions given in the German -instances. -

-

-A module of this form, characterized by the keyword with, is -called a functor instantiation. -

-

-Here is the complete code for the functor FoodI: -

-
-    incomplete concrete FoodI of Food = open Syntax, LexFood in {
-    lincat
-      S = Utt ; 
-      Item = NP ;
-      Kind = CN ;
-      Quality = AP ;
-    lin
-      Is item quality = mkUtt (mkCl item quality) ;
-      This kind = mkNP (mkDet this_Quant) kind ;
-      All kind = mkNP all_Predet (mkNP defPlDet kind) ;
-      QKind quality kind = mkCN quality kind ;
-      Wine = mkCN wine_N ;
-      Beer = mkCN beer_N ;
-      Pizza = mkCN pizza_N ;
-      Cheese = mkCN cheese_N ;
-      Fish = mkCN fish_N ;
-      Very quality = mkAP very_AdA quality ;
-      Fresh = mkAP fresh_A ;
-      Warm = mkAP warm_A ;
-      Italian = mkAP italian_A ;
-      Expensive = mkAP expensive_A ;
-      Delicious = mkAP delicious_A ;
-      Boring = mkAP boring_A ;
-  }
-
-

- -

Interfaces and instances

-

-Let us now define the LexFood interface: -

-
-    interface LexFood = open Syntax in {
-    oper
-      wine_N : N ;
-      beer_N : N ;
-      pizza_N : N ;
-      cheese_N : N ;
-      fish_N : N ;
-      fresh_A : A ;
-      warm_A : A ;
-      italian_A : A ;
-      expensive_A : A ;
-      delicious_A : A ;
-      boring_A : A ;
-  }
-
-

-In this interface, only lexical items are declared. In general, an -interface can declare any functions and also types. The Syntax -interface does so. -

-

-Here is the German instance of the interface: -

-
-    instance LexFoodGer of LexFood = open SyntaxGer, ParadigmsGer in {
-    oper
-      wine_N = mkN "Wein" ;
-      beer_N = mkN "Bier" "Biere" neuter ;
-      pizza_N = mkN "Pizza" "Pizzen" feminine ;
-      cheese_N = mkN "Käse" "Käsen" masculine ;
-      fish_N = mkN "Fisch" ;
-      fresh_A = mkA "frisch" ;
-      warm_A = mkA "warm" "wärmer" "wärmste" ;
-      italian_A = mkA "italienisch" ;
-      expensive_A = mkA "teuer" ;
-      delicious_A = mkA "köstlich" ;
-      boring_A = mkA "langweilig" ;
-    }
-
-

-Just to complete the picture, we repeat the German functor instantiation -for FoodI, this time with a path directive that makes it compilable. -

-
-    --# -path=.:present:prelude
-  
-    concrete FoodGer of Food = FoodI with 
-      (Syntax = SyntaxGer),
-      (LexFood = LexFoodGer) ;
-
-

-

-Exercise. Compile and test FoodGer. -

-

-Exercise. Refactor FoodFre into a functor instantiation. -

- -

Adding languages to a functor implementation

-

-Once we have an application grammar defined by using a functor, -adding a new language is simple. Just two modules need to be written: -

-
    -
  • a domain lexicon instance -
  • a functor instantiation -
- -

-The functor instantiation is completely mechanical to write. -Here is one for Finnish: -

-
-  --# -path=.:present:prelude
-  
-  concrete FoodFin of Food = FoodI with 
-    (Syntax = SyntaxFin),
-    (LexFood = LexFoodFin) ;
-
-

-The domain lexicon instance requires some knowledge of the words of the -language: what words are used for which concepts, how the words are -inflected, plus features such as genders. Here is a lexicon instance for -Finnish: -

-
-    instance LexFoodFin of LexFood = open SyntaxFin, ParadigmsFin in {
-    oper
-      wine_N = mkN "viini" ;
-      beer_N = mkN "olut" ;
-      pizza_N = mkN "pizza" ;
-      cheese_N = mkN "juusto" ;
-      fish_N = mkN "kala" ;
-      fresh_A = mkA "tuore" ;
-      warm_A = mkA "lämmin" ;
-      italian_A = mkA "italialainen" ;
-      expensive_A = mkA "kallis" ;
-      delicious_A = mkA "herkullinen" ;
-      boring_A = mkA "tylsä" ;
-    }
-
-

-

-Exercise. Instantiate the functor FoodI to some language of -your choice. -

- -

Division of labour revisited

-

-One purpose with the resource grammars was stated to be a division -of labour between linguists and application grammarians. We can now -reflect on what this means more precisely, by asking ourselves what -skills are required of grammarians working on different components. -

-

-Building a GF application starts from the abstract syntax. Writing -an abstract syntax requires -

-
    -
  • understanding the semantic structure of the application domain -
  • knowledge of the GF fragment with categories and functions -
- -

-If the concrete syntax is written by means of a functor, the programmer -has to decide what parts of the implementation are put to the interface -and what parts are shared in the functor. This requires -

-
    -
  • knowing how the domain concepts are expressed in natural language -
  • knowledge of the resource grammar library - the categories and combinators -
  • understanding what parts are likely to be expressed in language-dependent - ways, so that they must belong to the interface and not the functor -
  • knowledge of the GF fragment with function applications and strings -
- -

-Instantiating a ready-made functor to a new language is less demanding. -It requires essentially -

-
    -
  • knowing how the domain words are expressed in the language -
  • knowing, roughly, how these words are inflected -
  • knowledge of the paradigms available in the library -
  • knowledge of the GF fragment with function applications and strings -
- -

-Notice that none of these tasks requires the use of GF records, tables, -or parameters. Thus only a small fragment of GF is needed; the rest of -GF is only relevant for those who write the libraries. -

-

-Of course, grammar writing is not always straightforward usage of libraries. -For example, GF can be used for other languages than just those in the -libraries - for both natural and formal languages. A knowledge of records -and tables can, unfortunately, also be needed for understanding GF's error -messages. -

-

-Exercise. Design a small grammar that can be used for controlling -an MP3 player. The grammar should be able to recognize commands such -as play this song, with the following variations: -

-
    -
  • verbs: play, remove -
  • objects: song, artist -
  • determiners: this, the previous -
  • verbs without arguments: stop, pause -
- -

-The implementation goes in the following phases: -

-
    -
  1. abstract syntax -
  2. functor and lexicon interface -
  3. lexicon instance for the first language -
  4. functor instantiation for the first language -
  5. lexicon instance for the second language -
  6. functor instantiation for the second language -
  7. ... -
- - -

Restricted inheritance

-

-A functor implementation using the resource Syntax interface -works as long as all concepts are expressed by using the same structures -in all languages. If this is not the case, the deviant linearization can -be made into a parameter and moved to the domain lexicon interface. -

-

-Let us take a slightly contrived example: assume that English has -no word for Pizza, but has to use the paraphrase Italian pie. -This paraphrase is no longer a noun N, but a complex phrase -in the category CN. An obvious way to solve this problem is -to change interface LexEng so that the constant declared for -Pizza gets a new type: -

-
-    oper pizza_CN : CN ;
-
-

-But this solution is unstable: we may end up changing the interface -and the function with each new language, and we must every time also -change the interface instances for the old languages to maintain -type correctness. -

-

-A better solution is to use restricted inheritance: the English -instantiation inherits the functor implementation except for the -constant Pizza. This is how we write: -

-
-    --# -path=.:present:prelude
-  
-    concrete FoodEng of Food = FoodI - [Pizza] with 
-      (Syntax = SyntaxEng),
-      (LexFood = LexFoodEng) ** 
-        open SyntaxEng, ParadigmsEng in {
-  
-      lin Pizza = mkCN (mkA "Italian") (mkN "pie") ;
-    }
-
-

-Restricted inheritance is available for all inherited modules. One can for -instance exclude some mushrooms and pick up just some fruit in -the FoodMarket example: -

-
-    abstract Foodmarket = Food, Fruit [Peach], Mushroom - [Agaric]
-
-

-A concrete syntax of Foodmarket must then indicate the same inheritance -restrictions. -

-

-Exercise. Change FoodGer in such a way that it says, instead of -X is Y, the equivalent of X must be Y (X muss Y sein). -You will have to browse the full resource API to find all -the functions needed. -

- -

Browsing the resource with GF commands

-

-In addition to reading the -resource synopsis, you -can find resource function combinations by using the parser. This -is so because the resource library is in the end implemented as -a top-level abstract-concrete grammar, on which parsing -and linearization work. -

-

-Unfortunately, only English and the Scandinavian languages can be -parsed within acceptable computer resource limits when the full -resource is used. -

-

-To look for a syntax tree in the overload API by parsing, do like this: -

-
-    > $GF_LIB_PATH
-    > i -path=alltenses:prelude alltenses/OverLangEng.gfc
-    > p -cat=S -overload "this grammar is too big"
-    mkS (mkCl (mkNP (mkDet this_Quant) grammar_N) (mkAP too_AdA big_A))
-
-

-To view linearizations in all languages by parsing from English: -

-
-    > i alltenses/langs.gfcm
-    > p -cat=S -lang=LangEng "this grammar is too big" | tb
-    UseCl TPres ASimul PPos (PredVP (DetCN (DetSg (SgQuant this_Quant) 
-      NoOrd) (UseN grammar_N)) (UseComp (CompAP (AdAP too_AdA (PositA big_A)))))
-    Den här grammatiken är för stor
-    Esta gramática es demasiado grande
-    (Cyrillic: eta grammatika govorit des'at' jazykov)
-    Denne grammatikken er for stor
-    Questa grammatica è troppo grande
-    Diese Grammatik ist zu groß
-    Cette grammaire est trop grande
-    Tämä kielioppi on liian suuri
-    This grammar is too big
-    Denne grammatik er for stor
-
-

-Unfortunately, the Russian grammar uses at the moment a different -character encoding than the rest and is therefore not displayed correctly -in a terminal window. However, the GF syntax editor does display all -examples correctly: -

-
-    % gfeditor alltenses/langs.gfcm
-
-

-When you have constructed the tree, you will see the following screen: -

-

-

-

-

- -

-

-

-

-

-Exercise. Find the resource grammar translations for the following -English phrases (parse in the category Phr). You can first try to -build the terms manually. -

-

-every man loves a woman -

-

-this grammar speaks more than ten languages -

-

-which languages aren't in the grammar -

-

-which languages did you want to speak -

- -

More concepts of abstract syntax

- -

GF as a logical framework

-

-In this section, we will show how -to encode advanced semantic concepts in an abstract syntax. -We use concepts inherited from type theory. Type theory -is the basis of many systems known as logical frameworks, which are -used for representing mathematical theorems and their proofs on a computer. -In fact, GF has a logical framework as its proper part: -this part is the abstract syntax. -

-

-In a logical framework, the formalization of a mathematical theory -is a set of type and function declarations. The following is an example -of such a theory, represented as an abstract module in GF. -

-
-  abstract Arithm = {
-    cat
-      Prop ;                        -- proposition
-      Nat ;                         -- natural number
-    fun
-      Zero : Nat ;                  -- 0
-      Succ : Nat -> Nat ;           -- successor of x
-      Even : Nat -> Prop ;          -- x is even
-      And  : Prop -> Prop -> Prop ; -- A and B
-      } 
-
-

-

-Exercise. Give a concrete syntax of Arithm, either from scatch or -by using the resource library. -

- -

Dependent types

-

-Dependent types are a characteristic feature of GF, -inherited from the constructive type theory of Martin-Löf and -distinguishing GF from most other grammar formalisms and -functional programming languages. -

-

-Dependent types can be used for stating stronger -conditions of well-formedness than ordinary types. -A simple example is a "smart house" system, which -defines voice commands for household appliances. This example -is borrowed from the -Regulus Book -(Rayner & al. 2006). -

-

-One who enters a smart house can use speech to dim lights, switch -on the fan, etc. For each Kind of a device, there is a set of -Actions that can be performed on it; thus one can dim the lights but - not the fan, for example. These dependencies can be expressed by -by making the type Action dependent on Kind. We express this -as follows in cat declarations: -

-
-    cat
-      Command ;
-      Kind ; 
-      Action Kind ; 
-      Device Kind ; 
-
-

-The crucial use of the dependencies is made in the rule for forming commands: -

-
-    fun CAction : (k : Kind) -> Action k -> Device k -> Command ;
-
-

-In other words: an action and a device can be combined into a command only -if they are of the same Kind k. If we have the functions -

-
-    DKindOne  : (k : Kind) -> Device k ;  -- the light
-  
-    light, fan : Kind ;
-    dim : Action light ;
-
-

-we can form the syntax tree -

-
-    CAction light dim (DKindOne light)
-
-

-but we cannot form the trees -

-
-    CAction light dim (DKindOne fan)
-    CAction fan   dim (DKindOne light)
-    CAction fan   dim (DKindOne fan)
-
-

-Linearization rules are written as usual: the concrete syntax does not -know if a category is a dependent type. In English, you can write as follows: -

-
-    lincat Action = {s : Str} ;
-    lin CAction kind act dev = {s = act.s ++ dev.s} ; 
-
-

-Notice that the argument kind does not appear in the linearization. -The type checker will be able to reconstruct it from the dev argument. -

-

-Parsing with dependent types is performed in two phases: -

-
    -
  1. context-free parsing -
  2. filtering through type checker -
- -

-If you just parse in the usual way, you don't enter the second phase, and -the kind argument is not found: -

-
-    > parse "dim the light"
-    CAction ? dim (DKindOne light)
-
-

-Moreover, type-incorrect commands are not rejected: -

-
-    > parse "dim the fan"
-    CAction ? dim (DKindOne fan)
-
-

-The question mark ? is a metavariable, and is returned by the parser -for any subtree that is suppressed by a linearization rule. -

-

-To get rid of metavariables, you must feed the parse result into the -second phase of solving them. The solve process uses the dependent -type checker to restore the values of the metavariables. It is invoked by -the command put_tree = pt with the flag -transform=solve: -

-
-    > parse "dim the light" | put_tree -transform=solve
-    CAction light dim (DKindOne light)
-
-

-The solve process may fail, in which case no tree is returned: -

-
-    > parse "dim the fan" | put_tree -transform=solve
-    no tree found
-
-

-

-Exercise. Write an abstract syntax module with above contents -and an appropriate English concrete syntax. Try to parse the commands -dim the light and dim the fan, with and without solve filtering. -

-

-Exercise. Perform random and exhaustive generation, with and without -solve filtering. -

-

-Exercise. Add some device kinds and actions to the grammar. -

- -

Polymorphism

-

-Sometimes an action can be performed on all kinds of devices. It would be -possible to introduce separate fun constants for each kind-action pair, -but this would be tedious. Instead, one can use polymorphic actions, -i.e. actions that take a Kind as an argument and produce an Action -for that Kind: -

-
-    fun switchOn, switchOff : (k : Kind) -> Action k ;
-
-

-Functions that are not polymorphic are monomorphic. However, the -dichotomy into monomorphism and full polymorphism is not always sufficien -for good semantic modelling: very typically, some actions are defined -for a proper subset of devices, but not just one. For instance, both doors and -windows can be opened, whereas lights cannot. -We will return to this problem by introducing the -concept of restricted polymorphism later, -after a chapter on proof objects. -

- -

Dependent types and spoken language models

-

-We have used dependent types to control semantic well-formedness -in grammars. This is important in traditional type theory -applications such as proof assistants, where only mathematically -meaningful formulas should be constructed. But semantic filtering has -also proved important in speech recognition, because it reduces the -ambiguity of the results. -

- -

Grammar-based language models

-

-The standard way of using GF in speech recognition is by building -grammar-based language models. To this end, GF comes with compilers -into several formats that are used in speech recognition systems. -One such format is GSL, used in the Nuance speech recognizer. -It is produced from GF simply by printing a grammar with the flag --printer=gsl. -

-
-    > import -conversion=finite SmartEng.gf
-    > print_grammar -printer=gsl
-  
-    ;GSL2.0
-    ; Nuance speech recognition grammar for SmartEng
-    ; Generated by GF
-  
-    .MAIN SmartEng_2
-  
-    SmartEng_0 [("switch" "off") ("switch" "on")]
-    SmartEng_1 ["dim" ("switch" "off")
-                ("switch" "on")]
-    SmartEng_2 [(SmartEng_0 SmartEng_3)
-                (SmartEng_1 SmartEng_4)]
-    SmartEng_3 ("the" SmartEng_5)
-    SmartEng_4 ("the" SmartEng_6)
-    SmartEng_5 "fan"
-    SmartEng_6 "light"
-
-

-Now, GSL is a context-free format, so how does it cope with dependent types? -In general, dependent types can give rise to infinitely many basic types -(exercise!), whereas a context-free grammar can by definition only have -finitely many nonterminals. -

-

-This is where the flag -conversion=finite is needed in the import -command. Its effect is to convert a GF grammar with dependent types to -one without, so that each instance of a dependent type is replaced by -an atomic type. This can then be used as a nonterminal in a context-free -grammar. The finite conversion presupposes that every -dependent type has only finitely many instances, which is in fact -the case in the Smart grammar. -

-

-Exercise. If you have access to the Nuance speech recognizer, -test it with GF-generated language models for SmartEng. Do this -both with and without -conversion=finite. -

-

-Exercise. Construct an abstract syntax with infinitely many instances -of dependent types. -

- -

Statistical language models

-

-An alternative to grammar-based language models are -statistical language models (SLMs). An SLM is -built from a corpus, i.e. a set of utterances. It specifies the -probability of each n-gram, i.e. sequence of n words. The -typical value of n is 2 (bigrams) or 3 (trigrams). -

-

-One advantage of SLMs over grammar-based models is that they are -robust, i.e. they can be used to recognize sequences that would -be out of the grammar or the corpus. Another advantage is that -an SLM can be built "for free" if a corpus is available. -

-

-However, collecting a corpus can require a lot of work, and writing -a grammar can be less demanding, especially with tools such as GF or -Regulus. This advantage of grammars can be combined with robustness -by creating a back-up SLM from a synthesized corpus. This means -simply that the grammar is used for generating such a corpus. -In GF, this can be done with the generate_trees command. -As with grammar-based models, the quality of the SLM is better -if meaningless utterances are excluded from the corpus. Thus -a good way to generate an SLM from a GF grammar is by using -dependent types and filter the results through the type checker: -

-
-    > generate_trees | put_trees -transform=solve | linearize
-
-

-

-Exercise. Measure the size of the corpus generated from -SmartEng, with and without type checker filtering. -

- -

Digression: dependent types in concrete syntax

- -

Variables in function types

-

-A dependent function type needs to introduce a variable for -its argument type, as in -

-
-    switchOff : (k : Kind) -> Action k
-
-

-Function types without -variables are actually a shorthand notation: writing -

-
-    fun PredVP : NP -> VP -> S
-
-

-is shorthand for -

-
-    fun PredVP : (x : NP) -> (y : VP) -> S
-
-

-or any other naming of the variables. Actually the use of variables -sometimes shortens the code, since they can share a type: -

-
-    octuple : (x,y,z,u,v,w,s,t : Str) -> Str
-
-

-If a bound variable is not used, it can here, as elsewhere in GF, be replaced by -a wildcard: -

-
-    octuple : (_,_,_,_,_,_,_,_ : Str) -> Str
-
-

-A good practice for functions with many arguments of the same type -is to indicate the number of arguments: -

-
-    octuple : (x1,_,_,_,_,_,_,x8 : Str) -> Str
-
-

-One can also use the variables to document what each argument is expected -to provide, as is done in inflection paradigms in the resource grammar. -

-
-    mkV : (drink,drank,drunk : Str) -> V 
-
-

- -

Polymorphism in concrete syntax

-

-The functional fragment of GF -terms and types comprises function types, applications, lambda -abstracts, constants, and variables. This fragment is similar in -abstract and concrete syntax. In particular, -dependent types are also available in concrete syntax. -We have not made use of them yet, -but we will now look at one example of how they -can be used. -

-

-Those readers who are familiar with functional programming languages -like ML and Haskell, may already have missed polymorphic -functions. For instance, Haskell programmers have access to -the functions -

-
-    const :: a -> b -> a
-    const c _ = c
-  
-    flip :: (a -> b -> c) -> b -> a -> c
-    flip f y x = f x y
-
-

-which can be used for any given types a,b, and c. -

-

-The GF counterpart of polymorphic functions are monomorphic -functions with explicit type variables. Thus the above -definitions can be written -

-
-    oper const :(a,b : Type) -> a -> b -> a =
-      \_,_,c,_ -> c ;
-  
-    oper flip : (a,b,c : Type) -> (a -> b ->c) -> b -> a -> c =
-      \_,_,_,f,x,y -> f y x ;
-
-

-When the operations are used, the type checker requires -them to be equipped with all their arguments; this may be a nuisance -for a Haskell or ML programmer. -

- -

Proof objects

-

-Perhaps the most well-known idea in constructive type theory is -the Curry-Howard isomorphism, also known as the -propositions as types principle. Its earliest formulations -were attempts to give semantics to the logical systems of -propositional and predicate calculus. In this section, we will consider -a more elementary example, showing how the notion of proof is useful -outside mathematics, as well. -

-

-We first define the category of unary (also known as Peano-style) -natural numbers: -

-
-    cat Nat ; 
-    fun Zero : Nat ;
-    fun Succ : Nat -> Nat ;
-
-

-The successor function Succ generates an infinite -sequence of natural numbers, beginning from Zero. -

-

-We then define what it means for a number x to be less than -a number y. Our definition is based on two axioms: -

-
    -
  • Zero is less than Succ y for any y. -
  • If x is less than y, then Succ x is less than Succ y. -
- -

-The most straightforward way of expressing these axioms in type theory -is as typing judgements that introduce objects of a type Less x y: -

-
-    cat Less Nat Nat ; 
-    fun lessZ : (y : Nat) -> Less Zero (Succ y) ;
-    fun lessS : (x,y : Nat) -> Less x y -> Less (Succ x) (Succ y) ;
-
-

-Objects formed by lessZ and lessS are -called proof objects: they establish the truth of certain -mathematical propositions. -For instance, the fact that 2 is less that -4 has the proof object -

-
-    lessS (Succ Zero) (Succ (Succ (Succ Zero)))
-          (lessS Zero (Succ (Succ Zero)) (lessZ (Succ Zero)))
-
-

-whose type is -

-
-    Less (Succ (Succ Zero)) (Succ (Succ (Succ (Succ Zero))))
-
-

-which is the formalization of the proposition that 2 is less than 4. -

-

-GF grammars can be used to provide a semantic control of -well-formedness of expressions. We have already seen examples of this: -the grammar of well-formed actions on household devices. By introducing proof objects -we have now added a very powerful technique of expressing semantic conditions. -

-

-A simple example of the use of proof objects is the definition of -well-formed time spans: a time span is expected to be from an earlier to -a later time: -

-
-    from 3 to 8
-
-

-is thus well-formed, whereas -

-
-    from 8 to 3
-
-

-is not. The following rules for spans impose this condition -by using the Less predicate: -

-
-    cat Span ;
-    fun span : (m,n : Nat) -> Less m n -> Span ;
-
-

-

-Exercise. Write an abstract and concrete syntax with the -concepts of this section, and experiment with it in GF. -

-

-Exercise. Define the notions of "even" and "odd" in terms -of proof objects. Hint. You need one function for proving -that 0 is even, and two other functions for propagating the -properties. -

- -

Proof-carrying documents

-

-Another possible application of proof objects is proof-carrying documents: -to be semantically well-formed, the abstract syntax of a document must contain a proof -of some property, although the proof is not shown in the concrete document. -Think, for instance, of small documents describing flight connections: -

-

-To fly from Gothenburg to Prague, first take LH3043 to Frankfurt, then OK0537 to Prague. -

-

-The well-formedness of this text is partly expressible by dependent typing: -

-
-    cat
-      City ;
-      Flight City City ;
-    fun
-      Gothenburg, Frankfurt, Prague : City ;
-      LH3043 : Flight Gothenburg Frankfurt ;
-      OK0537 : Flight Frankfurt Prague ;
-
-

-This rules out texts saying take OK0537 from Gothenburg to Prague. -However, there is a -further condition saying that it must be possible to -change from LH3043 to OK0537 in Frankfurt. -This can be modelled as a proof object of a suitable type, -which is required by the constructor -that connects flights. -

-
-    cat
-      IsPossible (x,y,z : City)(Flight x y)(Flight y z) ;
-    fun
-      Connect : (x,y,z : City) -> 
-        (u : Flight x y) -> (v : Flight y z) -> 
-          IsPossible x y z u v -> Flight x z ;
-
-

- -

Restricted polymorphism

-

-In the first version of the smart house grammar Smart, -all Actions were either of -

-
    -
  • monomorphic: defined for one Kind -
  • polymorphic: defined for all Kinds -
- -

-To make this scale up for new Kinds, we can refine this to -restricted polymorphism: defined for Kinds of a certain class -

-

-The notion of class can be expressed in abstract syntax -by using the Curry-Howard isomorphism as follows: -

-
    -
  • a class is a predicate of Kinds - i.e. a type depending of Kinds -
  • a Kind is in a class if there is a proof object of this type -
- -

-Here is an example with switching and dimming. The classes are called -switchable and dimmable. -

-
-  cat
-    Switchable Kind ;
-    Dimmable   Kind ;
-  fun
-    switchable_light : Switchable light ;
-    switchable_fan   : Switchable fan ;
-    dimmable_light   : Dimmable light ;
-  
-    switchOn : (k : Kind) -> Switchable k -> Action k ;
-    dim      : (k : Kind) -> Dimmable k -> Action k ;
-
-

-One advantage of this formalization is that classes for new -actions can be added incrementally. -

-

-Exercise. Write a new version of the Smart grammar with -classes, and test it in GF. -

-

-Exercise. Add some actions, kinds, and classes to the grammar. -Try to port the grammar to a new language. You will probably find -out that restricted polymorphism works differently in different languages. -For instance, in Finnish not only doors but also TVs and radios -can be "opened", which means switching them on. -

- -

Variable bindings

-

-Mathematical notation and programming languages have -expressions that bind variables. For instance, -a universally quantifier proposition -

-
-    (All x)B(x)
-
-

-consists of the binding (All x) of the variable x, -and the body B(x), where the variable x can have -bound occurrences. -

-

-Variable bindings appear in informal mathematical language as well, for -instance, -

-
-    for all x, x is equal to x
-  
-    the function that for any numbers x and y returns the maximum of x+y
-    and x*y
-  
-    Let x be a natural number. Assume that x is even. Then x + 3 is odd.
-
-

-In type theory, variable-binding expression forms can be formalized -as functions that take functions as arguments. The universal -quantifier is defined -

-
-    fun All : (Ind -> Prop) -> Prop
-
-

-where Ind is the type of individuals and Prop, -the type of propositions. If we have, for instance, the equality predicate -

-
-    fun Eq : Ind -> Ind -> Prop
-
-

-we may form the tree -

-
-    All (\x -> Eq x x)
-
-

-which corresponds to the ordinary notation -

-
-    (All x)(x = x).
-
-

-An abstract syntax where trees have functions as arguments, as in -the two examples above, has turned out to be precisely the right -thing for the semantics and computer implementation of -variable-binding expressions. The advantage lies in the fact that -only one variable-binding expression form is needed, the lambda abstract -\x -> b, and all other bindings can be reduced to it. -This makes it easier to implement mathematical theories and reason -about them, since variable binding is tricky to implement and -to reason about. The idea of using functions as arguments of -syntactic constructors is known as higher-order abstract syntax. -

-

-The question now arises: how to define linearization rules -for variable-binding expressions? -Let us first consider universal quantification, -

-
-    fun All : (Ind -> Prop) -> Prop
-
-

-We write -

-
-    lin All B = {s = "(" ++ "All" ++ B.$0 ++ ")" ++ B.s}
-
-

-to obtain the form shown above. -This linearization rule brings in a new GF concept - the $0 -field of B containing a bound variable symbol. -The general rule is that, if an argument type of a function is -itself a function type A -> C, the linearization type of -this argument is the linearization type of C -together with a new field $0 : Str. In the linearization rule -for All, the argument B thus has the linearization -type -

-
-    {$0 : Str ; s : Str},
-
-

-since the linearization type of Prop is -

-
-    {s : Str}
-
-

-In other words, the linearization of a function -consists of a linearization of the body together with a -field for a linearization of the bound variable. -Those familiar with type theory or lambda calculus -should notice that GF requires trees to be in -eta-expanded form in order to be linearizable: -any function of type -

-
-    A -> B
-
-

-always has a syntax tree of the form -

-
-    \x -> b
-
-

-where b : B under the assumption x : A. -It is in this form that an expression can be analysed -as having a bound variable and a body. -

-

-Given the linearization rule -

-
-    lin Eq a b = {s = "(" ++ a.s ++ "=" ++ b.s ++ ")"}
-
-

-the linearization of -

-
-    \x -> Eq x x
-
-

-is the record -

-
-    {$0 = "x", s = ["( x = x )"]}
-
-

-Thus we can compute the linearization of the formula, -

-
-    All (\x -> Eq x x)  --> {s = "[( All x ) ( x = x )]"}.
-
-

-How did we get the linearization of the variable x -into the string "x"? GF grammars have no rules for -this: it is just hard-wired in GF that variable symbols are -linearized into the same strings that represent them in -the print-out of the abstract syntax. -

-

-To be able to parse variable symbols, however, GF needs to know what -to look for (instead of e.g. trying to parse any -string as a variable). What strings are parsed as variable symbols -is defined in the lexical analysis part of GF parsing -

-
-    > p -cat=Prop -lexer=codevars "(All x)(x = x)"
-    All (\x -> Eq x x)
-
-

-(see more details on lexers below). If several variables are bound in the -same argument, the labels are $0, $1, $2, etc. -

-

-Exercise. Write an abstract syntax of the whole -predicate calculus, with the -connectives "and", "or", "implies", and "not", and the -quantifiers "exists" and "for all". Use higher-order functions -to guarantee that unbounded variables do not occur. -

-

-Exercise. Write a concrete syntax for your favourite -notation of predicate calculus. Use Latex as target language -if you want nice output. You can also try producing Haskell boolean -expressions. Use as many parenthesis as you need to -guarantee non-ambiguity. -

- -

Semantic definitions

-

-We have seen that, -just like functional programming languages, GF has declarations -of functions, telling what the type of a function is. -But we have not yet shown how to compute -these functions: all we can do is provide them with arguments -and linearize the resulting terms. -Since our main interest is the well-formedness of expressions, -this has not yet bothered -us very much. As we will see, however, computation does play a role -even in the well-formedness of expressions when dependent types are -present. -

-

-GF has a form of judgement for semantic definitions, -recognized by the key word def. At its simplest, it is just -the definition of one constant, e.g. -

-
-    def one = Succ Zero ;
-
-

-We can also define a function with arguments, -

-
-    def Neg A = Impl A Abs ;
-
-

-which is still a special case of the most general notion of -definition, that of a group of pattern equations: -

-
-    def 
-      sum x Zero = x ;
-      sum x (Succ y) = Succ (Sum x y) ;
-
-

-To compute a term is, as in functional programming languages, -simply to follow a chain of reductions until no definition -can be applied. For instance, we compute -

-
-    Sum one one -->
-    Sum (Succ Zero) (Succ Zero) -->
-    Succ (sum (Succ Zero) Zero) -->
-    Succ (Succ Zero)
-
-

-Computation in GF is performed with the pt command and the -compute transformation, e.g. -

-
-    > p -tr "1 + 1" | pt -transform=compute -tr | l
-    sum one one
-    Succ (Succ Zero)
-    s(s(0))
-
-

-

-The def definitions of a grammar induce a notion of -definitional equality among trees: two trees are -definitionally equal if they compute into the same tree. -Thus, trivially, all trees in a chain of computation -(such as the one above) -are definitionally equal to each other. So are the trees -

-
-    sum Zero (Succ one)
-    Succ one
-    sum (sum Zero Zero) (sum (Succ Zero) one)
-
-

-and infinitely many other trees. -

-

-A fact that has to be emphasized about def definitions is that -they are not performed as a first step of linearization. -We say that linearization is intensional, which means that -the definitional equality of two trees does not imply that -they have the same linearizations. For instance, each of the seven terms -shown above has a different linearizations in arithmetic notation: -

-
-    1 + 1
-    s(0) + s(0)
-    s(s(0) + 0)
-    s(s(0))
-    0 + s(0)
-    s(1)
-    0 + 0 + s(0) + 1
-
-

-This notion of intensionality is -no more exotic than the intensionality of any pretty-printing -function of a programming language (function that shows -the expressions of the language as strings). It is vital for -pretty-printing to be intensional in this sense - if we want, -for instance, to trace a chain of computation by pretty-printing each -intermediate step, what we want to see is a sequence of different -expression, which are definitionally equal. -

-

-What is more exotic is that GF has two ways of referring to the -abstract syntax objects. In the concrete syntax, the reference is intensional. -In the abstract syntax, the reference is extensional, since -type checking is extensional. The reason is that, -in the type theory with dependent types, types may depend on terms. -Two types depending on terms that are definitionally equal are -equal types. For instance, -

-
-    Proof (Odd one)
-    Proof (Odd (Succ Zero))
-
-

-are equal types. Hence, any tree that type checks as a proof that -1 is odd also type checks as a proof that the successor of 0 is odd. -(Recall, in this connection, that the -arguments a category depends on never play any role -in the linearization of trees of that category, -nor in the definition of the linearization type.) -

-

-In addition to computation, definitions impose a -paraphrase relation on expressions: -two strings are paraphrases if they -are linearizations of trees that are -definitionally equal. -Paraphrases are sometimes interesting for -translation: the direct translation -of a string, which is the linearization of the same tree -in the targer language, may be inadequate because it is e.g. -unidiomatic or ambiguous. In such a case, -the translation algorithm may be made to consider -translation by a paraphrase. -

-

-To stress express the distinction between -constructors (=canonical functions) -and other functions, GF has a judgement form -data to tell that certain functions are canonical, e.g. -

-
-    data Nat = Succ | Zero ;
-
-

-Unlike in Haskell, but similarly to ALF (where constructor functions -are marked with a flag C), -new constructors can be added to -a type with new data judgements. The type signatures of constructors -are given separately, in ordinary fun judgements. -One can also write directly -

-
-    data Succ : Nat -> Nat ;
-
-

-which is equivalent to the two judgements -

-
-    fun Succ : Nat -> Nat ;
-    data Nat = Succ ;
-
-

-

-Exercise. Implement an interpreter of a small functional programming -language with natural numbers, lists, pairs, lambdas, etc. Use higher-order -abstract syntax with semantic definitions. As target language, use -your favourite programming language. -

-

-Exercise. To make your interpreted language look nice, use -precedences instead of putting parentheses everywhere. -You can use the precedence library -of GF to facilitate this. -

- -

Practical issues

- -

Lexers and unlexers

-

-Lexers and unlexers can be chosen from -a list of predefined ones, using the flags-lexer and `` -unlexer`` either -in the grammar file or on the GF command line. Here are some often-used lexers -and unlexers: -

-
-    The default is words.
-    -lexer=words         tokens are separated by spaces or newlines
-    -lexer=literals      like words, but GF integer and string literals recognized
-    -lexer=vars          like words, but "x","x_...","$...$" as vars, "?..." as meta
-    -lexer=chars         each character is a token
-    -lexer=code          use Haskell's lex
-    -lexer=codevars      like code, but treat unknown words as variables, ?? as meta
-    -lexer=text          with conventions on punctuation and capital letters
-    -lexer=codelit       like code, but treat unknown words as string literals
-    -lexer=textlit       like text, but treat unknown words as string literals
-  
-    The default is unwords.
-    -unlexer=unwords     space-separated token list (like unwords)
-    -unlexer=text        format as text: punctuation, capitals, paragraph <p>
-    -unlexer=code        format as code (spacing, indentation)
-    -unlexer=textlit     like text, but remove string literal quotes
-    -unlexer=codelit     like code, but remove string literal quotes
-    -unlexer=concat      remove all spaces
-
-

-More options can be found by help -lexer and help -unlexer: -

- -

Speech input and output

-

-The speak_aloud = sa command sends a string to the speech -synthesizer -Flite. -It is typically used via a pipe: -

-
-   generate_random | linearize | speak_aloud
-
-

-The result is only satisfactory for English. -

-

-The speech_input = si command receives a string from a -speech recognizer that requires the installation of -ATK. -It is typically used to pipe input to a parser: -

-
-   speech_input -tr | parse
-
-

-The method words only for grammars of English. -

-

-Both Flite and ATK are freely available through the links -above, but they are not distributed together with GF. -

- -

Multilingual syntax editor

-

-The -Editor User Manual -describes the use of the editor, which works for any multilingual GF grammar. -

-

-Here is a snapshot of the editor: -

-

-

-

-

- -

-

-

-

-

-The grammars of the snapshot are from the -Letter grammar package. -

- -

Communicating with GF

-

-Other processes can communicate with the GF command interpreter, -and also with the GF syntax editor. Useful flags when invoking GF are -

-
    -
  • -batch suppresses the promps and structures the communication with XML tags. -
  • -s suppresses non-output non-error messages and XML tags. -
  • -nocpu suppresses CPU time indication. -
- -

-Thus the most silent way to invoke GF is -

-
-    gf -batch -s -nocpu
-
-

- -

Embedded grammars in Haskell and Java

-

-GF grammars can be used as parts of programs written in the -following languages. We will go through a skeleton application in -Haskell, while the next chapter will show how to build an -application in Java. -

-

-We will show how to build a minimal resource grammar -application whose architecture scales up to much -larger applications. The application is run from the -shell by the command -

-
-    math
-
-

-whereafter it reads user input in English and French. -To each input line, it answers by the truth value of -the sentence. -

-
-    ./math
-    zéro est pair
-    True
-    zero is odd
-    False
-    zero is even and zero is odd
-    False
-
-

-The source of the application consists of the following -files: -

-
-    LexEng.gf    -- English instance of Lex
-    LexFre.gf    -- French instance of Lex
-    Lex.gf       -- lexicon interface
-    Makefile     -- a makefile
-    MathEng.gf   -- English instantiation of MathI
-    MathFre.gf   -- French instantiation of MathI
-    Math.gf      -- abstract syntax
-    MathI.gf     -- concrete syntax functor for Math
-    Run.hs       -- Haskell Main module
-
-

-The system was built in 22 steps explained below. -

- -

Writing GF grammars

- -

Creating the first grammar

-

-1. Write Math.gf, which defines what you want to say. -

-
-    abstract Math = {
-    cat Prop ; Elem ;
-    fun 
-      And  : Prop -> Prop -> Prop ;
-      Even : Elem -> Prop ;
-      Zero : Elem ;
-    }
-
-

-2. Write Lex.gf, which defines which language-dependent -parts are needed in the concrete syntax. These are mostly -words (lexicon), but can in fact be any operations. The definitions -only use resource abstract syntax, which is opened. -

-
-    interface Lex = open Syntax in {
-    oper
-      even_A : A ;
-      zero_PN : PN ;
-    } 
-
-

-3. Write LexEng.gf, the English implementation of Lex.gf -This module uses English resource libraries. -

-
-    instance LexEng of Lex = open GrammarEng, ParadigmsEng in {
-    oper
-      even_A = regA "even" ;
-      zero_PN = regPN "zero" ;
-  
-    }
-
-

-4. Write MathI.gf, a language-independent concrete syntax of -Math.gf. It opens interfaces. -which makes it an incomplete module, aka. parametrized module, aka. -functor. -

-
-    incomplete concrete MathI of Math = 
-  
-    open Syntax, Lex in {
-  
-    flags startcat = Prop ;
-  
-    lincat 
-      Prop = S ;
-      Elem = NP ;
-    lin 
-      And x y = mkS and_Conj x y ;
-      Even x = mkS (mkCl x even_A) ;
-      Zero = mkNP zero_PN ;
-    }
-
-

-5. Write MathEng.gf, which is just an instatiation of MathI.gf, -replacing the interfaces by their English instances. This is the module -that will be used as a top module in GF, so it contains a path to -the libraries. -

-
-    instance LexEng of Lex = open SyntaxEng, ParadigmsEng in {
-    oper
-      even_A = mkA "even" ;
-      zero_PN = mkPN "zero" ;
-    }
-
-

- -

Testing

-

-6. Test the grammar in GF by random generation and parsing. -

-
-    $ gf 
-    > i MathEng.gf
-    > gr -tr | l -tr | p
-    And (Even Zero) (Even Zero)
-    zero is evenand zero is even
-    And (Even Zero) (Even Zero)
-
-

-When importing the grammar, you will fail if you haven't -

-
    -
  • correctly defined your GF_LIB_PATH as GF/lib -
  • installed the resource package or - compiled the resource from source by make in GF/lib/resource-1.0 -
- - -

Adding a new language

-

-7. Now it is time to add a new language. Write a French lexicon LexFre.gf: -

-
-    instance LexFre of Lex = open SyntaxFre, ParadigmsFre in {
-    oper
-      even_A = mkA "pair" ;
-      zero_PN = mkPN "zéro" ;
-    }
-
-

-8. You also need a French concrete syntax, MathFre.gf: -

-
-    --# -path=.:present:prelude
-  
-    concrete MathFre of Math = MathI with
-      (Syntax = SyntaxFre), 
-      (Lex = LexFre) ;
-
-

-9. This time, you can test multilingual generation: -

-
-    > i MathFre.gf
-    > gr | tb
-    Even Zero
-    zéro est pair
-    zero is even
-
-

- -

Extending the language

-

-10. You want to add a predicate saying that a number is odd. -It is first added to Math.gf: -

-
-    fun Odd : Elem -> Prop ;
-
-

-11. You need a new word in Lex.gf. -

-
-    oper odd_A : A ;
-
-

-12. Then you can give a language-independent concrete syntax in -MathI.gf: -

-
-    lin Odd x = mkS (mkCl x odd_A) ;
-
-

-13. The new word is implemented in LexEng.gf. -

-
-    oper odd_A = mkA "odd" ;
-
-

-14. The new word is implemented in LexFre.gf. -

-
-    oper odd_A = mkA "impair" ;
-
-

-15. Now you can test with the extended lexicon. First empty -the environment to get rid of the old abstract syntax, then -import the new versions of the grammars. -

-
-    > e
-    > i MathEng.gf
-    > i MathFre.gf
-    > gr | tb
-    And (Odd Zero) (Even Zero)
-    zéro est impair et zéro est pair
-    zero is odd and zero is even
-
-

- -

Building a user program

- -

Producing a compiled grammar package

-

-16. Your grammar is going to be used by persons whMathEng.gfo do not need -to compile it again. They may not have access to the resource library, -either. Therefore it is advisable to produce a multilingual grammar -package in a single file. We call this package math.gfcm and -produce it, when we have MathEng.gf and -MathEng.gf in the GF state, by the command -

-
-    > pm | wf math.gfcm
-
-

- -

Writing the Haskell application

-

-17. Write the Haskell main file Run.hs. It uses the EmbeddedAPI -module defining some basic functionalities such as parsing. -The answer is produced by an interpreter of trees returned by the parser. -

-
-  module Main where
-  
-  import GSyntax
-  import GF.Embed.EmbedAPI
-  
-  main :: IO () 
-  main = do
-    gr <- file2grammar "math.gfcm"
-    loop gr
-  
-  loop :: MultiGrammar -> IO ()
-  loop gr = do
-    s <- getLine
-    interpret gr s
-    loop gr
-  
-  interpret :: MultiGrammar -> String -> IO ()
-  interpret gr s = do
-    let tss = parseAll gr "Prop" s
-    case (concat tss) of
-      [] ->  putStrLn "no parse"
-      t:_ -> print $ answer $ fg t
-  
-  answer :: GProp -> Bool
-  answer p = case p of
-    (GOdd x1) -> odd (value x1)
-    (GEven x1) -> even (value x1)
-    (GAnd x1 x2) -> answer x1 && answer x2
-  
-  value :: GElem -> Int
-  value e = case e of
-    GZero -> 0
-
-

-

-18. The syntax trees manipulated by the interpreter are not raw -GF trees, but objects of the Haskell datatype GProp. -From any GF grammar, a file GFSyntax.hs with -datatypes corresponding to its abstract -syntax can be produced by the command -

-
-    > pg -printer=haskell | wf GSyntax.hs
-
-

-The module also defines the overloaded functions -gf and fg for translating from these types to -raw trees and back. -

- -

Compiling the Haskell grammar

-

-19. Before compiling Run.hs, you must check that the -embedded GF modules are found. The easiest way to do this -is by two symbolic links to your GF source directories: -

-
-    $ ln -s /home/aarne/GF/src/GF
-    $ ln -s /home/aarne/GF/src/Transfer/
-
-

-

-20. Now you can run the GHC Haskell compiler to produce the program. -

-
-    $ ghc --make -o math Run.hs
-
-

-The program can be tested with the command ./math. -

- -

Building a distribution

-

-21. For a stand-alone binary-only distribution, only -the two files math and math.gfcm are needed. -For a source distribution, the files mentioned in -the beginning of this documents are needed. -

- -

Using a Makefile

-

-22. As a part of the source distribution, a Makefile is -essential. The Makefile is also useful when developing the -application. It should always be possible to build an executable -from source by typing make. Here is a minimal such Makefile: -

-
-    all:
-            echo "pm | wf math.gfcm" | gf MathEng.gf MathFre.gf
-            echo "pg -printer=haskell | wf GSyntax.hs" | gf math.gfcm
-            ghc --make -o math Run.hs
-
-

- -

Embedded grammars in Java

-

-Forthcoming; at the moment, the document -

-

- http://www.cs.chalmers.se/~bringert/gf/gf-java.html -

-

-by Björn Bringert gives more information on Java. -

- -

Further reading

-

-Syntax Editor User Manual: -

-

-http://www.cs.chalmers.se/~aarne/GF2.0/doc/javaGUImanual/javaGUImanual.htm -

-

-Resource Grammar Synopsis (on using resource grammars): -

-

-http://www.cs.chalmers.se/~aarne/GF/lib/resource-1.0/synopsis.html -

-

-Resource Grammar HOWTO (on writing resource grammars): -

-

-http://www.cs.chalmers.se/~aarne/GF/lib/resource-1.0/synopsis.html -

-

-GF Homepage: -

-

-http://www.cs.chalmers.se/~aarne/GF/doc -

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-/ID [ ] ->> -startxref -413609 -%%EOF diff --git a/doc/tutorial/gf-tutorial2.txt b/doc/tutorial/gf-tutorial2.txt deleted file mode 100644 index dda61ab81..000000000 --- a/doc/tutorial/gf-tutorial2.txt +++ /dev/null @@ -1,3943 +0,0 @@ -Grammatical Framework Tutorial -Author: Aarne Ranta aarne (at) cs.chalmers.se -Last update: %%date(%c) - -% NOTE: this is a txt2tags file. -% Create an html file from this file using: -% txt2tags --toc gf-tutorial2.txt - -%!target:html -%!encoding: iso-8859-1 - -%!postproc(tex): "section\*" "section" - -%!postproc(html): #BCEN
-%!postproc(html): #ECEN
- -%!postproc(tex): #BCEN "begin{center}" -%!postproc(tex): #ECEN "end{center}" - -%!preproc(html): #EDITORPNG [../quick-editor.png] -%!preproc(tex): #EDITORPNG [../../lib/resource-1.0/doc/10lang-small.png] - - -[../gf-logo.png] - - - -%--! -=Introduction= - -==GF = Grammatical Framework== - -The term GF is used for different things: -- a **program** used for working with grammars -- a **programming language** in which grammars can be written -- a **theory** about grammars and languages - - -This tutorial is primarily about the GF program and -the GF programming language. -It will guide you -- to use the GF program -- to write GF grammars -- to write programs in which GF grammars are used as components - - - -%--! -==What are GF grammars used for== - -A grammar is a definition of a language. -From this definition, different language processing components -can be derived: -- **parsing**: to analyse the language -- **linearization**: to generate the language -- **translation**: to analyse one language and generate another - - -A GF grammar can be seen as a declarative program from which these -processing tasks can be automatically derived. In addition, many -other tasks are readily available for GF grammars: -- **morphological analysis**: find out the possible inflection forms of words -- **morphological synthesis**: generate all inflection forms of words -- **random generation**: generate random expressions -- **corpus generation**: generate all expressions -- **treebank generation**: generate a list of trees with multiple linearizations -- **teaching quizzes**: train morphology and translation -- **multilingual authoring**: create a document in many languages simultaneously -- **speech input**: optimize a speech recognition system for your grammar - - -A typical GF application is based on a **multilingual grammar** involving -translation on a special domain. Existing applications of this idea include -- [Alfa: http://www.cs.chalmers.se/~hallgren/Alfa/Tutorial/GFplugin.html]: - a natural-language interface to a proof editor - (languages: English, French, Swedish) -- [KeY http://www.key-project.org/]: - a multilingual authoring system for creating software specifications - (languages: OCL, English, German) -- [TALK http://www.talk-project.org]: - multilingual and multimodal dialogue systems - (languages: English, Finnish, French, German, Italian, Spanish, Swedish) -- [WebALT http://webalt.math.helsinki.fi/content/index_eng.html]: - a multilingual translator of mathematical exercises - (languages: Catalan, English, Finnish, French, Spanish, Swedish) -- [Numeral translator http://www.cs.chalmers.se/~bringert/gf/translate/]: - number words from 1 to 999,999 - (88 languages) - - -The specialization of a grammar to a domain makes it possible to -obtain much better translations than in an unlimited machine translation -system. This is due to the well-defined semantics of such domains. -Grammars having this character are called **application grammars**. -They are different from most grammars written by linguists just -because they are multilingual and domain-specific. - -However, there is another kind of grammars, which we call **resource grammars**. -These are large, comprehensive grammars that can be used on any domain. -The GF Resource Grammar Library has resource grammars for 10 languages. -These grammars can be used as **libraries** to define application grammars. -In this way, it is possible to write a high-quality grammar without -knowing about linguistics: in general, to write an application grammar -by using the resource library just requires practical knowledge of -the target language. and all theoretical knowledge about its grammar -is given by the libraries. - - - - -%--! -==Who is this tutorial for== - -This tutorial is mainly for programmers who want to learn to write -application grammars. It will go through GF's programming concepts -without entering too deep into linguistics. Thus it should -be accessible to anyone who has some previous programming experience. - -A separate document has been written on how to write resource grammars: the -[Resource HOWTO ../../lib/resource-1.0/doc/Resource-HOWTO.html]. -In this tutorial, we will just cover the programming concepts that are used for -solving linguistic problems in the resource grammars. - -The easiest way to use GF is probably via the interactive syntax editor. -Its use does not require any knowledge of the GF formalism. There is -a separate -[Editor User Manual http://www.cs.chalmers.se/~aarne/GF2.0/doc/javaGUImanual/javaGUImanual.htm] -by Janna Khegai, covering the use of the editor. The editor is also a platform for many -kinds of GF applications, implementing the slogan - -//write a document in a language you don't know, while seeing it in a language you know//. - - -%--! -==The coverage of the tutorial== - -The tutorial gives a hands-on introduction to grammar writing. -We start by building a small grammar for the domain of food: -in this grammar, you can say things like -``` - this Italian cheese is delicious -``` -in English and Italian. - -The first English grammar -[``food.cf`` food.cf] -is written in a context-free -notation (also known as BNF). The BNF format is often a good -starting point for GF grammar development, because it is -simple and widely used. However, the BNF format is not -good for multilingual grammars. While it is possible to -"translate" by just changing the words contained in a -BNF grammar to words of some other -language, proper translation usually involves more. -For instance, the order of words may have to be changed: -``` - Italian cheese ===> formaggio italiano -``` -The full GF grammar format is designed to support such -changes, by separating between the **abstract syntax** -(the logical structure) and the **concrete syntax** (the -sequence of words) of expressions. - -There is more than words and word order that makes languages -different. Words can have different forms, and which forms -they have vary from language to language. For instance, -Italian adjectives usually have four forms where English -has just one: -``` - delicious (wine, wines, pizza, pizzas) - vino delizioso, vini deliziosi, pizza deliziosa, pizze deliziose -``` -The **morphology** of a language describes the -forms of its words. While the complete description of morphology -belongs to resource grammars, this tutorial will explain the -programming concepts involved in morphology. This will moreover -make it possible to grow the fragment covered by the food example. -The tutorial will in fact build a miniature resource grammar in order -to give an introduction to linguistically oriented grammar writing. - -Thus it is by elaborating the initial ``food.cf`` example that -the tutorial makes a guided tour through all concepts of GF. -While the constructs of the GF language are the main focus, -also the commands of the GF system are introduced as they -are needed. - -To learn how to write GF grammars is not the only goal of -this tutorial. We will also explain the most important -commands of the GF system. With these commands, -simple applications of grammars, such as translation and -quiz systems, can be built simply by writing scripts for the -system. - -More complicated applications, such as natural-language -interfaces and dialogue systems, moreover require programming in -some general-purpose language. Thus we will briefly explain how -GF grammars are used as components of Haskell programs. -Chapters on using them in Java and Javascript programs are -forthcoming; a comprehensive manual on GF embedded in Java, by Björn Bringert, is -available in -[``http://www.cs.chalmers.se/~bringert/gf/gf-java.html`` http://www.cs.chalmers.se/~bringert/gf/gf-java.html]. - - - -%--! -==Getting the GF program== - -The GF program is open-source free software, which you can download via the -GF Homepage: - -[``http://www.cs.chalmers.se/~aarne/GF`` http://www.cs.chalmers.se/~aarne/GF] - -There you can download -- binaries for Linux, Mac OS X, and Windows -- source code and documentation -- grammar libraries and examples - - -If you want to compile GF from source, you need a Haskell compiler. -To compile the interactive editor, you also need a Java compilers. -But normally you don't have to compile, and you definitely -don't need to know Haskell or Java to use GF. - -We are assuming the availability of a Unix shell. Linux and Mac OS X users -have it automatically, the latter under the name "terminal". -Windows users are recommended to install Cywgin, the free Unix shell for Windows. - - -%--! -==Running the GF program== - -To start the GF program, assuming you have installed it, just type -``` - % gf -``` -in the shell. -You will see GF's welcome message and the prompt ``>``. -The command -``` - > help -``` -will give you a list of available commands. - -As a common convention in this Tutorial, we will use -- ``%`` as a prompt that marks system commands -- ``>`` as a prompt that marks GF commands - - -Thus you should not type these prompts, but only the lines that -follow them. - - - -%--! -=The .cf grammar format= - -Now you are ready to try out your first grammar. -We start with one that is not written in the GF language, but -in the much more common BNF notation (Backus Naur Form). The GF -program understands a variant of this notation and translates it -internally to GF's own representation. - -To get started, type (or copy) the following lines into a file named -``food.cf``: -``` -Is. S ::= Item "is" Quality ; -That. Item ::= "that" Kind ; -This. Item ::= "this" Kind ; -QKind. Kind ::= Quality Kind ; -Cheese. Kind ::= "cheese" ; -Fish. Kind ::= "fish" ; -Wine. Kind ::= "wine" ; -Italian. Quality ::= "Italian" ; -Boring. Quality ::= "boring" ; -Delicious. Quality ::= "delicious" ; -Expensive. Quality ::= "expensive" ; -Fresh. Quality ::= "fresh" ; -Very. Quality ::= "very" Quality ; -Warm. Quality ::= "warm" ; -``` -For those who know ordinary BNF, the -notation we use includes one extra element: a **label** appearing -as the first element of each rule and terminated by a full stop. - -The grammar we wrote defines a set of phrases usable for speaking about food. -It builds **sentences** (``S``) by assigning ``Quality``s to -``Item``s. ``Item``s are build from ``Kind``s by prepending the -word "this" or "that". ``Kind``s are either **atomic**, such as -"cheese" and "wine", or formed by prepending a ``Quality`` to a -``Kind``. A ``Quality`` is either atomic, such as "Italian" and "boring", -or built by another ``Quality`` by prepending "very". Those familiar with -the context-free grammar notation will notice that, for instance, the -following sentence can be built using this grammar: -``` - this delicious Italian wine is very very expensive -``` - - - -%--! -==Importing grammars and parsing strings== - -The first GF command needed when using a grammar is to **import** it. -The command has a long name, ``import``, and a short name, ``i``. -You can type either -``` - > import food.cf -``` -or -``` - > i food.cf -``` -to get the same effect. -The effect is that the GF program **compiles** your grammar into an internal -representation, and shows a new prompt when it is ready. It will also show how much -CPU time is consumed: -``` - > i food.cf - - parsing cf food.cf 12 msec - 16 msec - > -``` -You can now use GF for **parsing**: -``` - > parse "this cheese is delicious" - Is (This Cheese) Delicious - - > p "that wine is very very Italian" - Is (That Wine) (Very (Very Italian)) -``` -The ``parse`` (= ``p``) command takes a **string** -(in double quotes) and returns an **abstract syntax tree** - the thing -beginning with ``Is``. Trees are built from the rule labels given in the -grammar, and record the ways in which the rules are used to produce the -strings. A tree is, in general, something easier than a string -for a machine to understand and to process further. - -Strings that return a tree when parsed do so in virtue of the grammar -you imported. Try parsing something else, and you fail -``` - > p "hello world" - Unknown words: hello world -``` - -**Exercise**. Extend the grammar ``food.cf`` by ten new food kinds and -qualities, and run the parser with new kinds of examples. - - -**Exercise**. Add a rule that enables questions of the form -//is this cheese Italian//. - - - -**Exercise**. Add the rule -``` - IsVery. S ::= Item "is" "very" Quality ; -``` -and see what happens when parsing ``this wine is very very Italian``. -You have just made the grammar **ambiguous**: it now assigns several -trees to some strings. - - -**Exercise**. Modify the grammar so that at most one ``Quality`` may -attach to a given ``Kind``. Thus //boring Italian fish// will no longer -be recognized. - - - - -%--! -==Generating trees and strings== - -You can also use GF for **linearizing** -(``linearize = l``). This is the inverse of -parsing, taking trees into strings: -``` - > linearize Is (That Wine) Warm - that wine is warm -``` -What is the use of this? Typically not that you type in a tree at -the GF prompt. The utility of linearization comes from the fact that -you can obtain a tree from somewhere else. One way to do so is -**random generation** (``generate_random = gr``): -``` - > generate_random - Is (This (QKind Italian Fish)) Fresh -``` -Now you can copy the tree and paste it to the ``linearize command``. -Or, more conveniently, feed random generation into linearization by using -a **pipe**. -``` - > gr | l - this Italian fish is fresh -``` -Pipes in GF work much the same way as Unix pipes: they feed the output -of one command into another command as its input. - - -%--! -==Visualizing trees== - -The gibberish code with parentheses returned by the parser does not -look like trees. Why is it called so? From the abstract mathematical -point of view, trees are a data structure that -represents **nesting**: trees are branching entities, and the branches -are themselves trees. Parentheses give a linear representation of trees, -useful for the computer. But the human eye may prefer to see a visualization; -for this purpose, GF provides the command ``visualizre_tree = vt``, to which -parsing (and any other tree-producing command) can be piped: - -``` - > parse "this delicious cheese is very Italian" | vt -``` - -[Tree2.png] - -This command uses the programs Graphviz and Ghostview, which you -might not have, but which are freely available on the web. - - - -%--! -==Some random-generated sentences== - -Random generation is a good way to test a grammar; it can also -be fun. So you may want to -generate ten strings with one and the same command: -``` - > gr -number=10 | l - that wine is boring - that fresh cheese is fresh - that cheese is very boring - this cheese is Italian - that expensive cheese is expensive - that fish is fresh - that wine is very Italian - this wine is Italian - this cheese is boring - this fish is boring -``` - - -%--! -==Systematic generation== - -To generate //all// sentence that a grammar -can generate, use the command ``generate_trees = gt``. -``` - > generate_trees | l - that cheese is very Italian - that cheese is very boring - that cheese is very delicious - that cheese is very expensive - that cheese is very fresh - ... - this wine is expensive - this wine is fresh - this wine is warm - -``` -You get quite a few trees but not all of them: only up to a given -**depth** of trees. To see how you can get more, use the -``help = h`` command, -``` - > help gt -``` - -**Exercise**. If the command ``gt`` generated all -trees in your grammar, it would never terminate. Why? - -**Exercise**. Measure how many trees the grammar gives with depths 4 and 5, -respectively. You use the Unix **word count** command ``wc`` to count lines. -**Hint**. You can pipe the output of a GF command into a Unix command by -using the escape ``?``, as follows: -``` - > generate_trees | ? wc -``` - - - - - -%--! -==More on pipes; tracing== - -A pipe of GF commands can have any length, but the "output type" -(either string or tree) of one command must always match the "input type" -of the next command. - -The intermediate results in a pipe can be observed by putting the -**tracing** flag ``-tr`` to each command whose output you -want to see: -``` - > gr -tr | l -tr | p - - Is (This Cheese) Boring - this cheese is boring - Is (This Cheese) Boring -``` -This facility is good for test purposes: for instance, you -may want to see if a grammar is **ambiguous**, i.e. -contains strings that can be parsed in more than one way. - -**Exercise**. Extend the grammar ``food.cf`` so that it produces ambiguous strings, -and try out the ambiguity test. - - - - -%--! -==Writing and reading files== - -To save the outputs of GF commands into a file, you can -pipe it to the ``write_file = wf`` command, -``` - > gr -number=10 | l | write_file exx.tmp -``` -You can read the file back to GF with the -``read_file = rf`` command, -``` - > read_file exx.tmp | p -lines -``` -Notice the flag ``-lines`` given to the parsing -command. This flag tells GF to parse each line of -the file separately. Without the flag, the grammar could -not recognize the string in the file, because it is not -a sentence but a sequence of ten sentences. - - - - -%--! -=The .gf grammar format= - -To see GF's internal representation of a grammar -that you have imported, you can give the command -``print_grammar = pg``, -``` - > print_grammar -``` -The output is quite unreadable at this stage, and you may feel happy that -you did not need to write the grammar in that notation, but that the -GF grammar compiler produced it. - -However, we will now start the demonstration -how GF's own notation gives you -much more expressive power than the ``.cf`` -format. We will introduce the ``.gf`` format by presenting -another way of defining the same grammar as in -``food.cf``. -Then we will show how the full GF grammar format enables you -to do things that are not possible in the context-free format. - - -%--! -==Abstract and concrete syntax== - -A GF grammar consists of two main parts: - -- **abstract syntax**, defining what syntax trees there are -- **concrete syntax**, defining how trees are linearized into strings - - -The context-free format fuses these two things together, but it is always -possible to take them apart. For instance, the sentence formation rule -``` - Is. S ::= Item "is" Quality ; -``` -is interpreted as the following pair of GF rules: -``` - fun Is : Item -> Quality -> S ; - lin Is item quality = {s = item.s ++ "is" ++ quality.s} ; -``` -The former rule, with the keyword ``fun``, belongs to the abstract syntax. -It defines the **function** -``Is`` which constructs syntax trees of form -(``Is`` //item// //quality//). - -The latter rule, with the keyword ``lin``, belongs to the concrete syntax. -It defines the **linearization function** for -syntax trees of form (``Is`` //item// //quality//). - - -%--! -==Judgement forms== - -Rules in a GF grammar are called **judgements**, and the keywords -``fun`` and ``lin`` are used for distinguishing between two -**judgement forms**. Here is a summary of the most important -judgement forms: - - - abstract syntax - - | form | reading | - | ``cat`` C | C is a category - | ``fun`` f ``:`` A | f is a function of type A - - - concrete syntax - - | form | reading | - | ``lincat`` C ``=`` T | category C has linearization type T - | ``lin`` f ``=`` t | function f has linearization t - - - -We return to the precise meanings of these judgement forms later. -First we will look at how judgements are grouped into modules, and -show how the food grammar is -expressed by using modules and judgements. - - -%--! -==Module types== - -A GF grammar consists of **modules**, -into which judgements are grouped. The most important -module forms are - - - ``abstract`` A ``=`` M, abstract syntax A with judgements in - the module body M. - - ``concrete`` C ``of`` A ``=`` M, concrete syntax C of the - abstract syntax A, with judgements in the module body M. - - -%--! -==Basic types and function types== - -The nonterminals of a context-free grammar, i.e. categories, -are called **basic types** in the type system of GF. In addition -to them, there are **function types** such as -``` - Item -> Quality -> S -``` -This type is read "a function from iterms and qualities to sentences". -The last type in the arrow-separated sequence is the **value type** -of the function type, the earlier types are its **argument types**. - - - - -%--! -==Records and strings== - -The linearization type of a category is a **record type**, with -zero of more **fields** of different types. The simplest record -type used for linearization in GF is -``` - {s : Str} -``` -which has one field, with **label** ``s`` and type ``Str``. - -Examples of records of this type are -``` - {s = "foo"} - {s = "hello" ++ "world"} -``` - -Whenever a record ``r`` of type ``{s : Str}`` is given, -``r.s`` is an object of type ``Str``. This is -a special case of the **projection** rule, allowing the extraction -of fields from a record: - -- if //r// : ``{`` ... //p// : //T// ... ``}`` then //r.p// : //T// - - -The type ``Str`` is really the type of **token lists**, but -most of the time one can conveniently think of it as the type of strings, -denoted by string literals in double quotes. - -Notice that -``` "hello world" -is not recommended as an expression of type ``Str``. It denotes -a token with a space in it, and will usually -not work with the lexical analysis that precedes parsing. A shorthand -exemplified by -``` - ["hello world and people"] === "hello" ++ "world" ++ "and" ++ "people" -``` -can be used for lists of tokens. The expression -``` - [] -``` -denotes the empty token list. - - - -%--! -==An abstract syntax example== - -To express the abstract syntax of ``food.cf`` in -a file ``Food.gf``, we write two kinds of judgements: - -- Each category is introduced by a ``cat`` judgement. -- Each rule label is introduced by a ``fun`` judgement, - with the type formed from the nonterminals of the rule. - - -``` - abstract Food = { - - cat - S ; Item ; Kind ; Quality ; - - fun - Is : Item -> Quality -> S ; - This, That : Kind -> Item ; - QKind : Quality -> Kind -> Kind ; - Wine, Cheese, Fish : Kind ; - Very : Quality -> Quality ; - Fresh, Warm, Italian, Expensive, Delicious, Boring : Quality ; - } -``` -Notice the use of shorthands permitting the sharing of -the keyword in subsequent judgements, -``` - cat S ; Item ; === cat S ; cat Item ; -``` -and of the type in subsequent ``fun`` judgements, -``` - fun Wine, Fish : Kind ; === - fun Wine : Kind ; Fish : Kind ; === - fun Wine : Kind ; fun Fish : Kind ; -``` -The order of judgements in a module is free. - -**Exercise**. Extend the abstract syntax ``Food`` with ten new -kinds and qualities, and with questions of the form -//is this wine Italian//. - - - -%--! -==A concrete syntax example== - -Each category introduced in ``Food.gf`` is -given a ``lincat`` rule, and each -function is given a ``lin`` rule. Similar shorthands -apply as in ``abstract`` modules. -``` - concrete FoodEng of Food = { - - lincat - S, Item, Kind, Quality = {s : Str} ; - - lin - Is item quality = {s = item.s ++ "is" ++ quality.s} ; - This kind = {s = "this" ++ kind.s} ; - That kind = {s = "that" ++ kind.s} ; - QKind quality kind = {s = quality.s ++ kind.s} ; - Wine = {s = "wine"} ; - Cheese = {s = "cheese"} ; - Fish = {s = "fish"} ; - Very quality = {s = "very" ++ quality.s} ; - Fresh = {s = "fresh"} ; - Warm = {s = "warm"} ; - Italian = {s = "Italian"} ; - Expensive = {s = "expensive"} ; - Delicious = {s = "delicious"} ; - Boring = {s = "boring"} ; - } -``` - -**Exercise**. Extend the concrete syntax ``FoodEng`` so that it -matches the abstract syntax defined in the exercise of the previous -section. What happens if the concrete syntax lacks some of the -new functions? - - - - -%--! -==Modules and files== - -GF uses suffixes to recognize different file formats. The most -important ones are: -- Source files: Module name + ``.gf`` = file name -- Target files: each module is compiled into a ``.gfc`` file. - - -Import ``FoodEng.gf`` and see what happens: -``` - > i FoodEng.gf - - compiling Food.gf... wrote file Food.gfc 16 msec - - compiling FoodEng.gf... wrote file FoodEng.gfc 20 msec -``` -The GF program does not only read the file -``FoodEng.gf``, but also all other files that it -depends on - in this case, ``Food.gf``. - -For each file that is compiled, a ``.gfc`` file -is generated. The GFC format (="GF Canonical") is the -"machine code" of GF, which is faster to process than -GF source files. When reading a module, GF decides whether -to use an existing ``.gfc`` file or to generate -a new one, by looking at modification times. - -**Exercise**. What happens when you import ``FoodEng.gf`` for -a second time? Try this in different situations: -- Right after importing it the first time (the modules are kept in - the memory of GF and need no reloading). -- After issuing the command ``empty`` (``e``), which clears the memory - of GF. -- After making a small change in ``FoodEng.gf``, be it only an added space. -- After making a change in ``Food.gf``. - - - -%--! -=Multilingual grammars and translation= - -The main advantage of separating abstract from concrete syntax is that -one abstract syntax can be equipped with many concrete syntaxes. -A system with this property is called a **multilingual grammar**. - -Multilingual grammars can be used for applications such as -translation. Let us build an Italian concrete syntax for -``Food`` and then test the resulting -multilingual grammar. - - - - -%--! -==An Italian concrete syntax== - -``` -concrete FoodIta of Food = { - - lincat - S, Item, Kind, Quality = {s : Str} ; - - lin - Is item quality = {s = item.s ++ "è" ++ quality.s} ; - This kind = {s = "questo" ++ kind.s} ; - That kind = {s = "quello" ++ kind.s} ; - QKind quality kind = {s = kind.s ++ quality.s} ; - Wine = {s = "vino"} ; - Cheese = {s = "formaggio"} ; - Fish = {s = "pesce"} ; - Very quality = {s = "molto" ++ quality.s} ; - Fresh = {s = "fresco"} ; - Warm = {s = "caldo"} ; - Italian = {s = "italiano"} ; - Expensive = {s = "caro"} ; - Delicious = {s = "delizioso"} ; - Boring = {s = "noioso"} ; - -} -``` - -**Exercise**. Write a concrete syntax of ``Food`` for some other language. -You will probably end up with grammatically incorrect output - but don't -worry about this yet. - -**Exercise**. If you have written ``Food`` for German, Swedish, or some -other language, test with random or exhaustive generation what constructs -come out incorrect, and prepare a list of those ones that cannot be helped -with the currently available fragment of GF. - - -%--! -==Using a multilingual grammar== - -Import the two grammars in the same GF session. -``` - > i FoodEng.gf - > i FoodIta.gf -``` -Try generation now: -``` - > gr | l - quello formaggio molto noioso è italiano - - > gr | l -lang=FoodEng - this fish is warm -``` -Translate by using a pipe: -``` - > p -lang=FoodEng "this cheese is very delicious" | l -lang=FoodIta - questo formaggio è molto delizioso -``` -Generate a **multilingual treebank**, i.e. a set of trees with their -translations in different languages: -``` - > gr -number=2 | tree_bank - - Is (That Cheese) (Very Boring) - quello formaggio è molto noioso - that cheese is very boring - - Is (That Cheese) Fresh - quello formaggio è fresco - that cheese is fresh -``` -The ``lang`` flag tells GF which concrete syntax to use in parsing and -linearization. By default, the flag is set to the last-imported grammar. -To see what grammars are in scope and which is the main one, use the command -``print_options = po``: -``` - > print_options - main abstract : Food - main concrete : FoodIta - actual concretes : FoodIta FoodEng -``` -You can change the main grammar by the command ``change_main = cm``: -``` - > change_main FoodEng - main abstract : Food - main concrete : FoodEng - actual concretes : FoodIta FoodEng -``` - - -%--! -==Translation session== - -If translation is what you want to do with a set of grammars, a convenient -way to do it is to open a ``translation_session = ts``. In this session, -you can translate between all the languages that are in scope. -A dot ``.`` terminates the translation session. -``` - > ts - - trans> that very warm cheese is boring - quello formaggio molto caldo è noioso - that very warm cheese is boring - - trans> questo vino molto italiano è molto delizioso - questo vino molto italiano è molto delizioso - this very Italian wine is very delicious - - trans> . - > -``` - - - -%--! -==Translation quiz== - -This is a simple language exercise that can be automatically -generated from a multilingual grammar. The system generates a set of -random sentences, displays them in one language, and checks the user's -answer given in another language. The command ``translation_quiz = tq`` -makes this in a subshell of GF. -``` - > translation_quiz FoodEng FoodIta - - Welcome to GF Translation Quiz. - The quiz is over when you have done at least 10 examples - with at least 75 % success. - You can interrupt the quiz by entering a line consisting of a dot ('.'). - - this fish is warm - questo pesce è caldo - > Yes. - Score 1/1 - - this cheese is Italian - questo formaggio è noioso - > No, not questo formaggio è noioso, but - questo formaggio è italiano - - Score 1/2 - this fish is expensive -``` -You can also generate a list of translation exercises and save it in a -file for later use, by the command ``translation_list = tl`` -``` - > translation_list -number=25 FoodEng FoodIta | write_file transl.txt -``` -The ``number`` flag gives the number of sentences generated. - - - - -%--! -=Grammar architecture= - -==Extending a grammar== - -The module system of GF makes it possible to **extend** a -grammar in different ways. The syntax of extension is -shown by the following example. We extend ``Food`` by -adding a category of questions and two new functions. -``` - abstract Morefood = Food ** { - cat - Question ; - fun - QIs : Item -> Quality -> Question ; - Pizza : Kind ; - - } -``` -Parallel to the abstract syntax, extensions can -be built for concrete syntaxes: -``` - concrete MorefoodEng of Morefood = FoodEng ** { - lincat - Question = {s : Str} ; - lin - QIs item quality = {s = "is" ++ item.s ++ quality.s} ; - Pizza = {s = "pizza"} ; - } -``` -The effect of extension is that all of the contents of the extended -and extending module are put together. We also say that the new -module **inherits** the contents of the old module. - - - -%--! -==Multiple inheritance== - -Specialized vocabularies can be represented as small grammars that -only do "one thing" each. For instance, the following are grammars -for fruit and mushrooms -``` - abstract Fruit = { - cat Fruit ; - fun Apple, Peach : Fruit ; - } - - abstract Mushroom = { - cat Mushroom ; - fun Cep, Agaric : Mushroom ; - } -``` -They can afterwards be combined into bigger grammars by using -**multiple inheritance**, i.e. extension of several grammars at the -same time: -``` - abstract Foodmarket = Food, Fruit, Mushroom ** { - fun - FruitKind : Fruit -> Kind ; - MushroomKind : Mushroom -> Kind ; - } -``` -At this point, you would perhaps like to go back to -``Food`` and take apart ``Wine`` to build a special -``Drink`` module. - - -%--! -==Visualizing module structure== - -When you have created all the abstract syntaxes and -one set of concrete syntaxes needed for ``Foodmarket``, -your grammar consists of eight GF modules. To see how their -dependences look like, you can use the command -``visualize_graph = vg``, -``` - > visualize_graph -``` -and the graph will pop up in a separate window. - -The graph uses - -- oval boxes for abstract modules -- square boxes for concrete modules -- black-headed arrows for inheritance -- white-headed arrows for the concrete-of-abstract relation - - -[Foodmarket.png] - - -Just as the ``visualize_tree = vt`` command, the open source tools -Ghostview and Graphviz are needed. - - -%--! -==System commands== - -To document your grammar, you may want to print the -graph into a file, e.g. a ``.png`` file that -can be included in an HTML document. You can do this -by first printing the graph into a file ``.dot`` and then -processing this file with the ``dot`` program (from the Graphviz package). -``` - > pm -printer=graph | wf Foodmarket.dot - > ! dot -Tpng Foodmarket.dot > Foodmarket.png -``` -The latter command is a Unix command, issued from GF by using the -shell escape symbol ``!``. The resulting graph was shown in the previous section. - -The command ``print_multi = pm`` is used for printing the current multilingual -grammar in various formats, of which the format ``-printer=graph`` just -shows the module dependencies. Use ``help`` to see what other formats -are available: -``` - > help pm - > help -printer - > help help -``` -Another form of system commands are those usable in GF pipes. The escape symbol -is then ``?``. -``` - > generate_trees | ? wc -``` - - - -%--! -=Resource modules= - - -==The golden rule of functional programming== - -In comparison to the ``.cf`` format, the ``.gf`` format looks rather -verbose, and demands lots more characters to be written. You have probably -done this by the copy-paste-modify method, which is a common way to -avoid repeating work. - -However, there is a more elegant way to avoid repeating work than the copy-and-paste -method. The **golden rule of functional programming** says that -- whenever you find yourself programming by copy-and-paste, write a function instead. - - -A function separates the shared parts of different computations from the -changing parts, its **arguments**, or **parameters**. -In functional programming languages, such as -[Haskell http://www.haskell.org], it is possible to share much more -code with functions than in imperative languages such as C and Java. - - -==Operation definitions== - -GF is a functional programming language, not only in the sense that -the abstract syntax is a system of functions (``fun``), but also because -functional programming can be used to define concrete syntax. This is -done by using a new form of judgement, with the keyword ``oper`` (for -**operation**), distinct from ``fun`` for the sake of clarity. -Here is a simple example of an operation: -``` - oper ss : Str -> {s : Str} = \x -> {s = x} ; -``` -The operation can be **applied** to an argument, and GF will -**compute** the application into a value. For instance, -``` - ss "boy" ===> {s = "boy"} -``` -(We use the symbol ``===>`` to indicate how an expression is -computed into a value; this symbol is not a part of GF) - -Thus an ``oper`` judgement includes the name of the defined operation, -its type, and an expression defining it. As for the syntax of the defining -expression, notice the **lambda abstraction** form ``\x -> t`` of -the function. - - - -%--! -==The ``resource`` module type== - -Operator definitions can be included in a concrete syntax. -But they are not really tied to a particular set of linearization rules. -They should rather be seen as **resources** -usable in many concrete syntaxes. - -The ``resource`` module type can be used to package -``oper`` definitions into reusable resources. Here is -an example, with a handful of operations to manipulate -strings and records. -``` - resource StringOper = { - oper - SS : Type = {s : Str} ; - ss : Str -> SS = \x -> {s = x} ; - cc : SS -> SS -> SS = \x,y -> ss (x.s ++ y.s) ; - prefix : Str -> SS -> SS = \p,x -> ss (p ++ x.s) ; - } -``` -Resource modules can extend other resource modules, in the -same way as modules of other types can extend modules of the -same type. Thus it is possible to build resource hierarchies. - - - -%--! -==Opening a resource== - -Any number of ``resource`` modules can be -**opened** in a ``concrete`` syntax, which -makes definitions contained -in the resource usable in the concrete syntax. Here is -an example, where the resource ``StringOper`` is -opened in a new version of ``FoodEng``. -``` - concrete Food2Eng of Food = open StringOper in { - - lincat - S, Item, Kind, Quality = SS ; - - lin - Is item quality = cc item (prefix "is" quality) ; - This k = prefix "this" k ; - That k = prefix "that" k ; - QKind k q = cc k q ; - Wine = ss "wine" ; - Cheese = ss "cheese" ; - Fish = ss "fish" ; - Very = prefix "very" ; - Fresh = ss "fresh" ; - Warm = ss "warm" ; - Italian = ss "Italian" ; - Expensive = ss "expensive" ; - Delicious = ss "delicious" ; - Boring = ss "boring" ; - - } -``` -**Exercise**. Use the same string operations to write ``FoodIta`` -more concisely. - - - -%--! -==Partial application== - -GF, like Haskell, permits **partial application** of -functions. An example of this is the rule -``` - lin This k = prefix "this" k ; -``` -which can be written more concisely -``` - lin This = prefix "this" ; -``` -The first form is perhaps more intuitive to write -but, once you get used to partial application, you will appreciate its -conciseness and elegance. The logic of partial application -is known as **currying**, with a reference to Haskell B. Curry. -The idea is that any //n//-place function can be defined as a 1-place -function whose value is an //n-//1 -place function. Thus -``` - oper prefix : Str -> SS -> SS ; -``` -can be used as a 1-place function that takes a ``Str`` into a -function ``SS -> SS``. The expected linearization of ``This`` is exactly -a function of such a type, operating on an argument of type ``Kind`` -whose linearization is of type ``SS``. Thus we can define the -linearization directly as ``prefix "this"``. - -**Exercise**. Define an operation ``infix`` analogous to ``prefix``, -such that it allows you to write -``` - lin Is = infix "is" ; -``` - - -%--! -==Testing resource modules== - -To test a ``resource`` module independently, you must import it -with the flag ``-retain``, which tells GF to retain ``oper`` definitions -in the memory; the usual behaviour is that ``oper`` definitions -are just applied to compile linearization rules -(this is called **inlining**) and then thrown away. -``` - > i -retain StringOper.gf -``` -The command ``compute_concrete = cc`` computes any expression -formed by operations and other GF constructs. For example, -``` - > compute_concrete prefix "in" (ss "addition") - { - s : Str = "in" ++ "addition" - } -``` - - - -%--! -==Division of labour== - -Using operations defined in resource modules is a -way to avoid repetitive code. -In addition, it enables a new kind of modularity -and division of labour in grammar writing: grammarians familiar with -the linguistic details of a language can make their knowledge -available through resource grammar modules, whose users only need -to pick the right operations and not to know their implementation -details. - -In the following sections, we will go through some -such linguistic details. The programming constructs needed when -doing this are useful for all GF programmers, even if they don't -hand-code the linguistics of their applications but get them -from libraries. It is also useful to know something about the -linguistic concepts of inflection, agreement, and parts of speech. - - - - -%--! -=Morphology= - -Suppose we want to say, with the vocabulary included in -``Food.gf``, things like -``` - all Italian wines are delicious -``` -The new grammatical facility we need are the plural forms -of nouns and verbs (//wines, are//), as opposed to their -singular forms. - -The introduction of plural forms requires two things: -- the **inflection** of nouns and verbs in singular and plural -- the **agreement** of the verb to subject: - the verb must have the same number as the subject - - -Different languages have different rules of inflection and agreement. -For instance, Italian has also agreement in gender (masculine vs. feminine). -We want to express such special features of languages in the -concrete syntax while ignoring them in the abstract syntax. - -To be able to do all this, we need one new judgement form -and many new expression forms. -We also need to generalize linearization types -from strings to more complex types. - -**Exercise**. Make a list of the possible forms that nouns, -adjectives, and verbs can have in some languages that you know. - - -%--! -==Parameters and tables== - -We define the **parameter type** of number in Englisn by -using a new form of judgement: -``` - param Number = Sg | Pl ; -``` -To express that ``Kind`` expressions in English have a linearization -depending on number, we replace the linearization type ``{s : Str}`` -with a type where the ``s`` field is a **table** depending on number: -``` - lincat Kind = {s : Number => Str} ; -``` -The **table type** ``Number => Str`` is in many respects similar to -a function type (``Number -> Str``). The main difference is that the -argument type of a table type must always be a parameter type. This means -that the argument-value pairs can be listed in a finite table. The following -example shows such a table: -``` - lin Cheese = {s = table { - Sg => "cheese" ; - Pl => "cheeses" - } - } ; -``` -The table consists of **branches**, where a **pattern** on the -left of the arrow ``=>`` is assigned a **value** on the right. - -The application of a table to a parameter is done by the **selection** -operator ``!``. For instance, -``` - table {Sg => "cheese" ; Pl => "cheeses"} ! Pl -``` -is a selection that computes into the value ``"cheeses"``. -This computation is performed by **pattern matching**: return -the value from the first branch whose pattern matches the -selection argument. Thus -``` - table {Sg => "cheese" ; Pl => "cheeses"} ! Pl - ===> "cheeses" -``` - -**Exercise**. In a previous exercise, we make a list of the possible -forms that nouns, adjectives, and verbs can have in some languages that -you know. Now take some of the results and implement them by -using parameter type definitions and tables. Write them into a ``resource`` -module, which you can test by using the command ``compute_concrete``. - - - -%--! -==Inflection tables and paradigms== - -All English common nouns are inflected in number, most of them in the -same way: the plural form is obtained from the singular by adding the -ending //s//. This rule is an example of -a **paradigm** - a formula telling how the inflection -forms of a word are formed. - -From the GF point of view, a paradigm is a function that takes a **lemma** - -also known as a **dictionary form** - and returns an inflection -table of desired type. Paradigms are not functions in the sense of the -``fun`` judgements of abstract syntax (which operate on trees and not -on strings), but operations defined in ``oper`` judgements. -The following operation defines the regular noun paradigm of English: -``` - oper regNoun : Str -> {s : Number => Str} = \x -> { - s = table { - Sg => x ; - Pl => x + "s" - } - } ; -``` -The **gluing** operator ``+`` tells that -the string held in the variable ``x`` and the ending ``"s"`` -are written together to form one **token**. Thus, for instance, -``` - (regNoun "cheese").s ! Pl ---> "cheese" + "s" ---> "cheeses" -``` - -**Exercise**. Identify cases in which the ``regNoun`` paradigm does not -apply in English, and implement some alternative paradigms. - -**Exercise**. Implement a paradigm for regular verbs in English. - -**Exercise**. Implement some regular paradigms for other languages you have -considered in earlier exercises. - - -%--! -==Worst-case functions and data abstraction== - -Some English nouns, such as ``mouse``, are so irregular that -it makes no sense to see them as instances of a paradigm. Even -then, it is useful to perform **data abstraction** from the -definition of the type ``Noun``, and introduce a constructor -operation, a **worst-case function** for nouns: -``` - oper mkNoun : Str -> Str -> Noun = \x,y -> { - s = table { - Sg => x ; - Pl => y - } - } ; -``` -Thus we can define -``` - lin Mouse = mkNoun "mouse" "mice" ; -``` -and -``` - oper regNoun : Str -> Noun = \x -> - mkNoun x (x + "s") ; -``` -instead of writing the inflection tables explicitly. - -The grammar engineering advantage of worst-case functions is that -the author of the resource module may change the definitions of -``Noun`` and ``mkNoun``, and still retain the -interface (i.e. the system of type signatures) that makes it -correct to use these functions in concrete modules. In programming -terms, ``Noun`` is then treated as an **abstract datatype**. - - - -%--! -==A system of paradigms using Prelude operations== - -In addition to the completely regular noun paradigm ``regNoun``, -some other frequent noun paradigms deserve to be -defined, for instance, -``` - sNoun : Str -> Noun = \kiss -> mkNoun kiss (kiss + "es") ; -``` -What about nouns like //fly//, with the plural //flies//? The already -available solution is to use the longest common prefix -//fl// (also known as the **technical stem**) as argument, and define -``` - yNoun : Str -> Noun = \fl -> mkNoun (fl + "y") (fl + "ies") ; -``` -But this paradigm would be very unintuitive to use, because the technical stem -is not an existing form of the word. A better solution is to use -the lemma and a string operator ``init``, which returns the initial segment (i.e. -all characters but the last) of a string: -``` - yNoun : Str -> Noun = \fly -> mkNoun fly (init fly + "ies") ; -``` -The operation ``init`` belongs to a set of operations in the -resource module ``Prelude``, which therefore has to be -``open``ed so that ``init`` can be used. Its dual is ``last``: -``` - > cc init "curry" - "curr" - - > cc last "curry" - "y" -``` -As generalizations of the library functions ``init`` and ``last``, GF has -two predefined funtions: -``Predef.dp``, which "drops" suffixes of any length, -and ``Predef.tk``, which "takes" a prefix -just omitting a number of characters from the end. For instance, -``` - > cc Predef.tk 3 "worried" - "worr" - > cc Predef.dp 3 "worried" - "ied" -``` -The prefix ``Predef`` is given to a handful of functions that could -not be defined internally in GF. They are available in all modules -without explicit ``open`` of the module ``Predef``. - - - - - -%--! -==Pattern matching== - -We have so far built all expressions of the ``table`` form -from branches whose patterns are constants introduced in -``param`` definitions, as well as constant strings. -But there are more expressive patterns. Here is a summary of the possible forms: -- a variable pattern (identifier other than constant parameter) matches anything -- the wild card ``_`` matches anything -- a string literal pattern, e.g. ``"s"``, matches the same string -- a disjunctive pattern ``P | ... | Q`` matches anything that - one of the disjuncts matches - - -Pattern matching is performed in the order in which the branches -appear in the table: the branch of the first matching pattern is followed. - -As syntactic sugar, one-branch tables can be written concisely, -``` - \\P,...,Q => t === table {P => ... table {Q => t} ...} -``` -Finally, the ``case`` expressions common in functional -programming languages are syntactic sugar for table selections: -``` - case e of {...} === table {...} ! e -``` - - -%--! -==An intelligent noun paradigm using pattern matching== - -It may be hard for the user of a resource morphology to pick the right -inflection paradigm. A way to help this is to define a more intelligent -paradigm, which chooses the ending by first analysing the lemma. -The following variant for English regular nouns puts together all the -previously shown paradigms, and chooses one of them on the basis of -the final letter of the lemma (found by the prelude operator ``last``). -``` - regNoun : Str -> Noun = \s -> case last s of { - "s" | "z" => mkNoun s (s + "es") ; - "y" => mkNoun s (init s + "ies") ; - _ => mkNoun s (s + "s") - } ; -``` -This definition displays many GF expression forms not shown befores; -these forms are explained in the next section. - -The paradigms ``regNoun`` does not give the correct forms for -all nouns. For instance, //mouse - mice// and -//fish - fish// must be given by using ``mkNoun``. -Also the word //boy// would be inflected incorrectly; to prevent -this, either use ``mkNoun`` or modify -``regNoun`` so that the ``"y"`` case does not -apply if the second-last character is a vowel. - -**Exercise**. Extend the ``regNoun`` paradigm so that it takes care -of all variations there are in English. Test it with the nouns -//ax//, //bamboo//, //boy//, //bush//, //hero//, //match//. -**Hint**. The library functions ``Predef.dp`` and ``Predef.tk`` -are useful in this task. - -**Exercise**. The same rules that form plural nouns in English also -apply in the formation of third-person singular verbs. -Write a regular verb paradigm that uses this idea, but first -rewrite ``regNoun`` so that the analysis needed to build //s//-forms -is factored out as a separate ``oper``, which is shared with -``regVerb``. - - - - -%--! -==Morphological resource modules== - -A common idiom is to -gather the ``oper`` and ``param`` definitions -needed for inflecting words in -a language into a morphology module. Here is a simple -example, [``MorphoEng`` resource/MorphoEng.gf]. -``` - --# -path=.:prelude - - resource MorphoEng = open Prelude in { - - param - Number = Sg | Pl ; - - oper - Noun, Verb : Type = {s : Number => Str} ; - - mkNoun : Str -> Str -> Noun = \x,y -> { - s = table { - Sg => x ; - Pl => y - } - } ; - - regNoun : Str -> Noun = \s -> case last s of { - "s" | "z" => mkNoun s (s + "es") ; - "y" => mkNoun s (init s + "ies") ; - _ => mkNoun s (s + "s") - } ; - - mkVerb : Str -> Str -> Verb = \x,y -> mkNoun y x ; - - regVerb : Str -> Verb = \s -> case last s of { - "s" | "z" => mkVerb s (s + "es") ; - "y" => mkVerb s (init s + "ies") ; - "o" => mkVerb s (s + "es") ; - _ => mkVerb s (s + "s") - } ; - } -``` -The first line gives as a hint to the compiler the -**search path** needed to find all the other modules that the -module depends on. The directory ``prelude`` is a subdirectory of -``GF/lib``; to be able to refer to it in this simple way, you can -set the environment variable ``GF_LIB_PATH`` to point to this -directory. - - - -=Using parameters in concrete syntax= - -We can now enrich the concrete syntax definitions to -comprise morphology. This will involve a more radical -variation between languages (e.g. English and Italian) -then just the use of different words. In general, -parameters and linearization types are different in -different languages - but this does not prevent the -use of a common abstract syntax. - - -%--! -==Parametric vs. inherent features, agreement== - -The rule of subject-verb agreement in English says that the verb -phrase must be inflected in the number of the subject. This -means that a noun phrase (functioning as a subject), inherently -//has// a number, which it passes to the verb. The verb does not -//have// a number, but must be able to //receive// whatever number the -subject has. This distinction is nicely represented by the -different linearization types of **noun phrases** and **verb phrases**: -``` - lincat NP = {s : Str ; n : Number} ; - lincat VP = {s : Number => Str} ; -``` -We say that the number of ``NP`` is an **inherent feature**, -whereas the number of ``NP`` is a **variable feature** (or a -**parametric feature**). - -The agreement rule itself is expressed in the linearization rule of -the predication function: -``` - lin PredVP np vp = {s = np.s ++ vp.s ! np.n} ; -``` -The following section will present -``FoodsEng``, assuming the abstract syntax ``Foods`` -that is similar to ``Food`` but also has the -plural determiners ``These`` and ``Those``. -The reader is invited to inspect the way in which agreement works in -the formation of sentences. - - -%--! -==English concrete syntax with parameters== - -The grammar uses both -[``Prelude`` ../../lib/prelude/Prelude.gf] and -[``MorphoEng`` resource/MorphoEng]. -We will later see how to make the grammar even -more high-level by using a resource grammar library -and parametrized modules. -``` ---# -path=.:resource:prelude - -concrete FoodsEng of Foods = open Prelude, MorphoEng in { - - lincat - S, Quality = SS ; - Kind = {s : Number => Str} ; - Item = {s : Str ; n : Number} ; - - lin - Is item quality = ss (item.s ++ (mkVerb "are" "is").s ! item.n ++ quality.s) ; - This = det Sg "this" ; - That = det Sg "that" ; - These = det Pl "these" ; - Those = det Pl "those" ; - QKind quality kind = {s = \\n => quality.s ++ kind.s ! n} ; - Wine = regNoun "wine" ; - Cheese = regNoun "cheese" ; - Fish = mkNoun "fish" "fish" ; - Very = prefixSS "very" ; - Fresh = ss "fresh" ; - Warm = ss "warm" ; - Italian = ss "Italian" ; - Expensive = ss "expensive" ; - Delicious = ss "delicious" ; - Boring = ss "boring" ; - - oper - det : Number -> Str -> Noun -> {s : Str ; n : Number} = \n,d,cn -> { - s = d ++ cn.s ! n ; - n = n - } ; -} -``` - - - -%--! -==Hierarchic parameter types== - -The reader familiar with a functional programming language such as -[Haskell http://www.haskell.org] must have noticed the similarity -between parameter types in GF and **algebraic datatypes** (``data`` definitions -in Haskell). The GF parameter types are actually a special case of algebraic -datatypes: the main restriction is that in GF, these types must be finite. -(It is this restriction that makes it possible to invert linearization rules into -parsing methods.) - -However, finite is not the same thing as enumerated. Even in GF, parameter -constructors can take arguments, provided these arguments are from other -parameter types - only recursion is forbidden. Such parameter types impose a -hierarchic order among parameters. They are often needed to define -the linguistically most accurate parameter systems. - -To give an example, Swedish adjectives -are inflected in number (singular or plural) and -gender (uter or neuter). These parameters would suggest 2*2=4 different -forms. However, the gender distinction is done only in the singular. Therefore, -it would be inaccurate to define adjective paradigms using the type -``Gender => Number => Str``. The following hierarchic definition -yields an accurate system of three adjectival forms. -``` - param AdjForm = ASg Gender | APl ; - param Gender = Utr | Neutr ; -``` -Here is an example of pattern matching, the paradigm of regular adjectives. -``` - oper regAdj : Str -> AdjForm => Str = \fin -> table { - ASg Utr => fin ; - ASg Neutr => fin + "t" ; - APl => fin + "a" ; - } -``` -A constructor can be used as a pattern that has patterns as arguments. For instance, -the adjectival paradigm in which the two singular forms are the same, -can be defined -``` - oper plattAdj : Str -> AdjForm => Str = \platt -> table { - ASg _ => platt ; - APl => platt + "a" ; - } -``` - - -%--! -==Morphological analysis and morphology quiz== - -Even though morphology is in GF -mostly used as an auxiliary for syntax, it -can also be useful on its own right. The command ``morpho_analyse = ma`` -can be used to read a text and return for each word the analyses that -it has in the current concrete syntax. -``` - > rf bible.txt | morpho_analyse -``` -In the same way as translation exercises, morphological exercises can -be generated, by the command ``morpho_quiz = mq``. Usually, -the category is set to be something else than ``S``. For instance, -``` - > cd GF/lib/resource-1.0/ - > i french/IrregFre.gf - > morpho_quiz -cat=V - - Welcome to GF Morphology Quiz. - ... - - réapparaître : VFin VCondit Pl P2 - réapparaitriez - > No, not réapparaitriez, but - réapparaîtriez - Score 0/1 -``` -Finally, a list of morphological exercises can be generated -off-line and saved in a -file for later use, by the command ``morpho_list = ml`` -``` - > morpho_list -number=25 -cat=V | wf exx.txt -``` -The ``number`` flag gives the number of exercises generated. - - - -%--! -==Discontinuous constituents== - -A linearization type may contain more strings than one. -An example of where this is useful are English particle -verbs, such as //switch off//. The linearization of -a sentence may place the object between the verb and the particle: -//he switched it off//. - -The following judgement defines transitive verbs as -**discontinuous constituents**, i.e. as having a linearization -type with two strings and not just one. -``` - lincat TV = {s : Number => Str ; part : Str} ; -``` -This linearization rule -shows how the constituents are separated by the object in complementization. -``` - lin PredTV tv obj = {s = \\n => tv.s ! n ++ obj.s ++ tv.part} ; -``` -There is no restriction in the number of discontinuous constituents -(or other fields) a ``lincat`` may contain. The only condition is that -the fields must be of finite types, i.e. built from records, tables, -parameters, and ``Str``, and not functions. - -A mathematical result -about parsing in GF says that the worst-case complexity of parsing -increases with the number of discontinuous constituents. This is -potentially a reason to avoid discontinuous constituents. -Moreover, the parsing and linearization commands only give accurate -results for categories whose linearization type has a unique ``Str`` -valued field labelled ``s``. Therefore, discontinuous constituents -are not a good idea in top-level categories accessed by the users -of a grammar application. - - -%--! -==Free variation== - -Sometimes there are many alternative ways to define a concrete syntax. -For instance, the verb negation in English can be expressed both by -//does not// and //doesn't//. In linguistic terms, these expressions -are in **free variation**. The ``variants`` construct of GF can -be used to give a list of strings in free variation. For example, -``` - NegVerb verb = {s = variants {["does not"] ; "doesn't} ++ verb.s ! Pl} ; -``` -An empty variant list -``` - variants {} -``` -can be used e.g. if a word lacks a certain form. - -In general, ``variants`` should be used cautiously. It is not -recommended for modules aimed to be libraries, because the -user of the library has no way to choose among the variants. - - - -==Overloading of operations== - -Large libraries, such as the GF Resource Grammar Library, may define -hundreds of names, which can be unpractical -for both the library writer and the user. The writer has to invent longer -and longer names which are not always intuitive, -and the user has to learn or at least be able to find all these names. -A solution to this problem, adopted by languages such as C++, is **overloading**: -the same name can be used for several functions. When such a name is used, the -compiler performs **overload resolution** to find out which of the possible functions -is meant. The resolution is based on the types of the functions: all functions that -have the same name must have different types. - -In C++, functions with the same name can be scattered everywhere in the program. -In GF, they must be grouped together in ``overload`` groups. Here is an example -of an overload group, defining four ways to define nouns in Italian: -``` - oper mkN = overload { - mkN : Str -> N = -- regular nouns - mkN : Str -> Gender -> N = -- regular nouns with unexpected gender - mkN : Str -> Str -> N = -- irregular nouns - mkN : Str -> Str -> Gender -> N = -- irregular nouns with unexpected gender - } -``` -All of the following uses of ``mkN`` are easy to resolve: -``` - lin Pizza = mkN "pizza" ; -- Str -> N - lin Hand = mkN "mano" Fem ; -- Str -> Gender -> N - lin Man = mkN "uomo" "uomini" ; -- Str -> Str -> N -``` - - - - - - -%--! -=More constructs for concrete syntax= - -In this chapter, we go through constructs that are not necessary in simple grammars -or when the concrete syntax relies on libraries. But they are useful when -writing advanced concrete syntax implementations, such as resource grammar libraries. -This chapter can safely be skipped if the reader prefers to continue to the -chapter on using libraries. - - -%--! -==Local definitions== - -Local definitions ("``let`` expressions") are used in functional -programming for two reasons: to structure the code into smaller -expressions, and to avoid repeated computation of one and -the same expression. Here is an example, from -[``MorphoIta`` resource/MorphoIta.gf]: -``` - oper regNoun : Str -> Noun = \vino -> - let - vin = init vino ; - o = last vino - in - case o of { - "a" => mkNoun Fem vino (vin + "e") ; - "o" | "e" => mkNoun Masc vino (vin + "i") ; - _ => mkNoun Masc vino vino - } ; -``` - - -==Record extension and subtyping== - -Record types and records can be **extended** with new fields. For instance, -in German it is natural to see transitive verbs as verbs with a case. -The symbol ``**`` is used for both constructs. -``` - lincat TV = Verb ** {c : Case} ; - - lin Follow = regVerb "folgen" ** {c = Dative} ; -``` -To extend a record type or a record with a field whose label it -already has is a type error. - -A record type //T// is a **subtype** of another one //R//, if //T// has -all the fields of //R// and possibly other fields. For instance, -an extension of a record type is always a subtype of it. - -If //T// is a subtype of //R//, an object of //T// can be used whenever -an object of //R// is required. For instance, a transitive verb can -be used whenever a verb is required. - -**Contravariance** means that a function taking an //R// as argument -can also be applied to any object of a subtype //T//. - - - -==Tuples and product types== - -Product types and tuples are syntactic sugar for record types and records: -``` - T1 * ... * Tn === {p1 : T1 ; ... ; pn : Tn} - === {p1 = T1 ; ... ; pn = Tn} -``` -Thus the labels ``p1, p2,...`` are hard-coded. - - -==Record and tuple patterns== - -Record types of parameter types are also parameter types. -A typical example is a record of agreement features, e.g. French -``` - oper Agr : PType = {g : Gender ; n : Number ; p : Person} ; -``` -Notice the term ``PType`` rather than just ``Type`` referring to -parameter types. Every ``PType`` is also a ``Type``, but not vice-versa. - -Pattern matching is done in the expected way, but it can moreover -utilize partial records: the branch -``` - {g = Fem} => t -``` -in a table of type ``Agr => T`` means the same as -``` - {g = Fem ; n = _ ; p = _} => t -``` -Tuple patterns are translated to record patterns in the -same way as tuples to records; partial patterns make it -possible to write, slightly surprisingly, -``` - case of { - => t - ... - } -``` - - -%--! -==Regular expression patterns== - -To define string operations computed at compile time, such -as in morphology, it is handy to use regular expression patterns: - - //p// ``+`` //q// : token consisting of //p// followed by //q// - - //p// ``*`` : token //p// repeated 0 or more times - (max the length of the string to be matched) - - ``-`` //p// : matches anything that //p// does not match - - //x// ``@`` //p// : bind to //x// what //p// matches - - //p// ``|`` //q// : matches what either //p// or //q// matches - - -The last three apply to all types of patterns, the first two only to token strings. -As an example, we give a rule for the formation of English word forms -ending with an //s// and used in the formation of both plural nouns and -third-person present-tense verbs. -``` - add_s : Str -> Str = \w -> case w of { - _ + "oo" => w + "s" ; -- bamboo - _ + ("s" | "z" | "x" | "sh" | "o") => w + "es" ; -- bus, hero - _ + ("a" | "o" | "u" | "e") + "y" => w + "s" ; -- boy - x + "y" => x + "ies" ; -- fly - _ => w + "s" -- car - } ; -``` -Here is another example, the plural formation in Swedish 2nd declension. -The second branch uses a variable binding with ``@`` to cover the cases where an -unstressed pre-final vowel //e// disappears in the plural -(//nyckel-nycklar, seger-segrar, bil-bilar//): -``` - plural2 : Str -> Str = \w -> case w of { - pojk + "e" => pojk + "ar" ; - nyck + "e" + l@("l" | "r" | "n") => nyck + l + "ar" ; - bil => bil + "ar" - } ; -``` - - -Semantics: variables are always bound to the **first match**, which is the first -in the sequence of binding lists ``Match p v`` defined as follows. In the definition, -``p`` is a pattern and ``v`` is a value. The semantics is given in Haskell notation. -``` - Match (p1|p2) v = Match p1 ++ U Match p2 v - Match (p1+p2) s = [Match p1 s1 ++ Match p2 s2 | - i <- [0..length s], (s1,s2) = splitAt i s] - Match p* s = [[]] if Match "" s ++ Match p s ++ Match (p+p) s ++... /= [] - Match -p v = [[]] if Match p v = [] - Match c v = [[]] if c == v -- for constant and literal patterns c - Match x v = [[(x,v)]] -- for variable patterns x - Match x@p v = [[(x,v)]] + M if M = Match p v /= [] - Match p v = [] otherwise -- failure -``` -Examples: -- ``x + "e" + y`` matches ``"peter"`` with ``x = "p", y = "ter"`` -- ``x + "er"*`` matches ``"burgerer"`` with ``x = "burg" - - - -**Exercise**. Implement the German **Umlaut** operation on word stems. -The operation changes the vowel of the stressed stem syllable as follows: -//a// to //ä//, //au// to //äu//, //o// to //ö//, and //u// to //ü//. You -can assume that the operation only takes syllables as arguments. Test the -operation to see whether it correctly changes //Arzt// to //Ärzt//, -//Baum// to //Bäum//, //Topf// to //Töpf//, and //Kuh// to //Küh//. - - - - -%--! -==Prefix-dependent choices== - -Sometimes a token has different forms depending on the token -that follows. An example is the English indefinite article, -which is //an// if a vowel follows, //a// otherwise. -Which form is chosen can only be decided at run time, i.e. -when a string is actually build. GF has a special construct for -such tokens, the ``pre`` construct exemplified in -``` - oper artIndef : Str = - pre {"a" ; "an" / strs {"a" ; "e" ; "i" ; "o"}} ; -``` -Thus -``` - artIndef ++ "cheese" ---> "a" ++ "cheese" - artIndef ++ "apple" ---> "an" ++ "apple" -``` -This very example does not work in all situations: the prefix -//u// has no general rules, and some problematic words are -//euphemism, one-eyed, n-gram//. It is possible to write -``` - oper artIndef : Str = - pre {"a" ; - "a" / strs {"eu" ; "one"} ; - "an" / strs {"a" ; "e" ; "i" ; "o" ; "n-"} - } ; -``` - - -==Predefined types== - -GF has the following predefined categories in abstract syntax: -``` - cat Int ; -- integers, e.g. 0, 5, 743145151019 - cat Float ; -- floats, e.g. 0.0, 3.1415926 - cat String ; -- strings, e.g. "", "foo", "123" -``` -The objects of each of these categories are **literals** -as indicated in the comments above. No ``fun`` definition -can have a predefined category as its value type, but -they can be used as arguments. For example: -``` - fun StreetAddress : Int -> String -> Address ; - lin StreetAddress number street = {s = number.s ++ street.s} ; - - -- e.g. (StreetAddress 10 "Downing Street") : Address -``` -FIXME: The linearization type is ``{s : Str}`` for all these categories. - - - -%--! - -=Using the resource grammar library= - -In this chapter, we will take a look at the GF resource grammar library. -We will use the library to implement a slightly extended ``Food`` grammar -and port it to some new languages. - - -==The coverage of the library== - -The GF Resource Grammar Library contains grammar rules for -10 languages (in addition, 2 languages are available as incomplete -implementations, and a few more are under construction). Its purpose -is to make these rules available for application programmers, -who can thereby concentrate on the semantic and stylistic -aspects of their grammars, without having to think about -grammaticality. The targeted level of application grammarians -is that of a skilled programmer with -a practical knowledge of the target languages, but without -theoretical knowledge about their grammars. -Such a combination of -skills is typical of programmers who, for instance, want to localize -software to new languages. - -The current resource languages are -- ``Ara``bic (incomplete) -- ``Cat``alan (incomplete) -- ``Dan``ish -- ``Eng``lish -- ``Fin``nish -- ``Fre``nch -- ``Ger``man -- ``Ita``lian -- ``Nor``wegian -- ``Rus``sian -- ``Spa``nish -- ``Swe``dish - - -The first three letters (``Eng`` etc) are used in grammar module names. -The incomplete Arabic and Catalan implementations are -enough to be used in many applications; they both contain, amoung other -things, complete inflectional morphology. - - -==The resource API== - -The resource library API is devided into language-specific -and language-independent parts. To put it roughly, -- the syntax API is language-independent, i.e. has the same types and functions for all - languages. - Its name is ``Syntax``//L// for each language //L// -- the morphology API is language-specific, i.e. has partly different types and functions - for different languages. - Its name is ``Paradigms``//L// for each language //L// - - -A full documentation of the API is available on-line in the -[resource synopsis ../../lib/resource-1.0/synopsis.html]. For our -examples, we will only need a fragment of the full API. - -In the first examples, -we will make use of the following categories, from the module ``Syntax``. - -|| Category | Explanation | Example || -| ``Utt`` | sentence, question, word... | "be quiet" | -| ``Adv`` | verb-phrase-modifying adverb, | "in the house" | -| ``AdA`` | adjective-modifying adverb, | "very" | -| ``S`` | declarative sentence | "she lived here" | -| ``Cl`` | declarative clause, with all tenses | "she looks at this" | -| ``AP`` | adjectival phrase | "very warm" | -| ``CN`` | common noun (without determiner) | "red house" | -| ``NP`` | noun phrase (subject or object) | "the red house" | -| ``Det`` | determiner phrase | "those seven" | -| ``Predet`` | predeterminer | "only" | -| ``Quant`` | quantifier with both sg and pl | "this/these" | -| ``Prep`` | preposition, or just case | "in" | -| ``A`` | one-place adjective | "warm" | -| ``N`` | common noun | "house" | - - -We will need the following syntax rules from ``Syntax``. - -|| Function | Type | Example || -| ``mkUtt`` | ``S -> Utt`` | //John walked// | -| ``mkUtt`` | ``Cl -> Utt`` | //John walks// | -| ``mkCl`` | ``NP -> AP -> Cl`` | //John is very old// | -| ``mkNP`` | ``Det -> CN -> NP`` | //the first old man// | -| ``mkNP`` | ``Predet -> NP -> NP`` | //only John// | -| ``mkDet`` | ``Quant -> Det`` | //this// | -| ``mkCN`` | ``N -> CN`` | //house// | -| ``mkCN`` | ``AP -> CN -> CN`` | //very big blue house// | -| ``mkAP`` | ``A -> AP`` | //old// | -| ``mkAP`` | ``AdA -> AP -> AP`` | //very very old// | - -We will also need the following structural words from ``Syntax``. - -|| Function | Type | Example || -| ``all_Predet`` | ``Predet`` | //all// | -| ``defPlDet`` | ``Det`` | //the (houses)// | -| ``this_Quant`` | ``Quant`` | //this// | -| ``very_AdA`` | ``AdA`` | //very// | - - -For French, we will use the following part of ``ParadigmsFre``. - -|| Function | Type | Example || -| ``Gender`` | ``Type`` | - | -| ``masculine`` | ``Gender`` | - | -| ``feminine`` | ``Gender`` | - | -| ``mkN`` | ``(cheval : Str) -> N`` | - | -| ``mkN`` | ``(foie : Str) -> Gender -> N`` | - | -| ``mkA`` | ``(cher : Str) -> A`` | - | -| ``mkA`` | ``(sec,seche : Str) -> A`` | - | - - -For German, we will use the following part of ``ParadigmsGer``. - -|| Function | Type | Example || -| ``Gender`` | ``Type`` | - | -| ``masculine`` | ``Gender`` | - | -| ``feminine`` | ``Gender`` | - | -| ``neuter`` | ``Gender`` | - | -| ``mkN`` | ``(Stufe : Str) -> N`` | - | -| ``mkN`` | ``(Bild,Bilder : Str) -> Gender -> N`` | - | -| ``mkA`` | ``Str -> A`` | - | -| ``mkA`` | ``(gut,besser,beste : Str) -> A`` | //gut,besser,beste// | - - -**Exercise**. Try out the morphological paradigms in different languages. Do -in this way: -``` - > i -path=alltenses:prelude -retain alltenses/ParadigmsGer.gfr - > cc mkN "Farbe" - > cc mkA "gut" "besser" "beste" -``` - - -==Example: French== - -We start with an abstract syntax that is like ``Food`` before, but -has a plural determiner (//all wines//) and some new nouns that will -need different genders in most languages. -``` - abstract Food = { - cat - S ; Item ; Kind ; Quality ; - fun - Is : Item -> Quality -> S ; - This, All : Kind -> Item ; - QKind : Quality -> Kind -> Kind ; - Wine, Cheese, Fish, Beer, Pizza : Kind ; - Very : Quality -> Quality ; - Fresh, Warm, Italian, Expensive, Delicious, Boring : Quality ; - } -``` -The French implementation opens ``SyntaxFre`` and ``ParadigmsFre`` -to get access to the resource libraries needed. In order to find -the libraries, a ``path`` directive is prepended; it is interpreted -relative to the environment variable ``GF_LIB_PATH``. -``` - --# -path=.:present:prelude - - concrete FoodFre of Food = open SyntaxFre,ParadigmsFre in { - lincat - S = Utt ; - Item = NP ; - Kind = CN ; - Quality = AP ; - lin - Is item quality = mkUtt (mkCl item quality) ; - This kind = mkNP (mkDet this_Quant) kind ; - All kind = mkNP all_Predet (mkNP defPlDet kind) ; - QKind quality kind = mkCN quality kind ; - Wine = mkCN (mkN "vin") ; - Beer = mkCN (mkN "bière") ; - Pizza = mkCN (mkN "pizza" feminine) ; - Cheese = mkCN (mkN "fromage" masculine) ; - Fish = mkCN (mkN "poisson") ; - Very quality = mkAP very_AdA quality ; - Fresh = mkAP (mkA "frais" "fraîche") ; - Warm = mkAP (mkA "chaud") ; - Italian = mkAP (mkA "italien") ; - Expensive = mkAP (mkA "cher") ; - Delicious = mkAP (mkA "délicieux") ; - Boring = mkAP (mkA "ennuyeux") ; - } -``` -The ``lincat`` definitions in ``FoodFre`` assign **resource categories** -to **application categories**. In a sense, the application categories -are **semantic**, as they correspond to concepts in the grammar application, -whereas the resource categories are **syntactic**: they give the linguistic -means to express concepts in any application. - -The ``lin`` definitions likewise assign resource functions to application -functions. Under the hood, there is a lot of matching with parameters to -take care of word order, inflection, and agreement. But the user of the -library sees nothing of this: the only parameters you need to give are -the genders of some nouns, which cannot be correctly inferred from the word. - -In French, for example, the one-argument ``mkN`` assigns the noun the feminine -gender if and only if it ends with an //e//. Therefore the words //fromage// and -//pizza// are given genders. One can of course always give genders manually, to -be on the safe side. - -As for inflection, the one-argument adjective pattern ``mkA`` takes care of -completely regular adjective such as //chaud-chaude//, but also of special -cases such as //italien-italienne//, //cher-chère//, and //délicieux-délicieuse//. -But it cannot form //frais-fraîche// properly. Once again, you can give more -forms to be on the safe side. You can also test the paradigms in the GF -program. - -**Exercise**. Compile the grammar ``FoodFre`` and generate and parse some sentences. - -**Exercise**. Write a concrete syntax of ``Food`` for English or some other language -included in the resource library. You can also compare the output with the hand-written -grammars presented earlier in this tutorial. - -**Exercise**. In particular, try to write a concrete syntax for Italian, even if -you don't know Italian. What you need to know is that "beer" is //birra// and -"pizza" is //pizza//, and that all the nouns and adjectives in the grammar -are regular. - - - -==Functor implementation of multilingual grammars== - -If you did the exercise of writing a concrete syntax of ``Food`` for some other -language, you probably noticed that much of the code looks exactly the same -as for French. The immediate reason for this is that the ``Syntax`` API is the -same for all languages; the deeper reason is that all languages (at least those -in the resource package) implement the same syntactic structures and tend to use them -in similar ways. Thus it is only the lexical parts of a concrete syntax that -you need to write anew for a new language. In brief, -- first copy the concrete syntax for one language -- then change the words (the strings and perhaps some paradigms) - - -But programming by copy-and-paste is not worthy of a functional programmer. -Can we write a function that takes care of the shared parts of grammar modules? -Yes, we can. It is not a function in the ``fun`` or ``oper`` sense, but -a function operating on modules, called a **functor**. This construct -is familiar from the functional languages ML and OCaml, but it does not -exist in Haskell. It also bears some resemblance to templates in C++. -Functors are also known as **parametrized modules**. - -In GF, a functor is a module that ``open``s one or more **interfaces**. -An ``interface`` is a module similar to a ``resource``, but it only -contains the types of ``oper``s, not their definitions. You can think -of an interface as a kind of a record type. Thus a functor is a kind -of a function taking records as arguments and producins a module -as value. - -Let us look at a functor implementation of the ``Food`` grammar. -Consider its module header first: -``` - incomplete concrete FoodI of Food = open Syntax, LexFood in -``` -In the functor-function analogy, ``FoodI`` would be presented as a function -with the following type signature: -``` - FoodI : instance of Syntax -> instance of LexFood -> concrete of Food -``` -It takes as arguments two interfaces: -- ``Syntax``, the resource grammar interface -- ``LexFood``, the domain-specific lexicon interface - - -Functors opening ``Syntax`` and a domain lexicon interface are in fact -so typical in GF applications, that this structure could be called a **design patter** -for GF grammars. The idea in this pattern is, again, that -the languages use the same syntactic structures but different words. - -Before going to the details of the module bodies, let us look at how functors -are concretely used. An interface has a header such as -``` - interface LexFood = open Syntax in -``` -To give an ``instance`` of it means that all ``oper``s are given definitione (of -appropriate types). For example, -``` - instance LexFoodGer of LexFood = open SyntaxGer, ParadigmsGer in -``` -Notice that when an interface opens an interface, such as ``Syntax``, then its instance -opens an instance of it. But the instance may also open some resources - typically, -a domain lexicon instance opens a ``Paradigms`` module. - -In the function-functor analogy, we now have -``` - SyntaxGer : instance of Syntax - LexFoodGer : instance of LexFood -``` -Thus we can complete the German implementation by "applying" the functor: -``` - FoodI SyntaxGer LexFoodGer : concrete of Food -``` -The GF syntax for doing so is -``` - concrete FoodGer of Food = FoodI with - (Syntax = SyntaxGer), - (LexFood = LexFoodGer) ; -``` -Notice that this is the //complete// module, not just a header of it. -The module body is received from ``FoodI``, by instantiating the -interface constants with their definitions given in the German -instances. - -A module of this form, characterized by the keyword ``with``, is -called a **functor instantiation**. - -Here is the complete code for the functor ``FoodI``: -``` - incomplete concrete FoodI of Food = open Syntax, LexFood in { - lincat - S = Utt ; - Item = NP ; - Kind = CN ; - Quality = AP ; - lin - Is item quality = mkUtt (mkCl item quality) ; - This kind = mkNP (mkDet this_Quant) kind ; - All kind = mkNP all_Predet (mkNP defPlDet kind) ; - QKind quality kind = mkCN quality kind ; - Wine = mkCN wine_N ; - Beer = mkCN beer_N ; - Pizza = mkCN pizza_N ; - Cheese = mkCN cheese_N ; - Fish = mkCN fish_N ; - Very quality = mkAP very_AdA quality ; - Fresh = mkAP fresh_A ; - Warm = mkAP warm_A ; - Italian = mkAP italian_A ; - Expensive = mkAP expensive_A ; - Delicious = mkAP delicious_A ; - Boring = mkAP boring_A ; -} -``` - - -==Interfaces and instances== - -Let us now define the ``LexFood`` interface: -``` - interface LexFood = open Syntax in { - oper - wine_N : N ; - beer_N : N ; - pizza_N : N ; - cheese_N : N ; - fish_N : N ; - fresh_A : A ; - warm_A : A ; - italian_A : A ; - expensive_A : A ; - delicious_A : A ; - boring_A : A ; -} -``` -In this interface, only lexical items are declared. In general, an -interface can declare any functions and also types. The ``Syntax`` -interface does so. - -Here is the German instance of the interface: -``` - instance LexFoodGer of LexFood = open SyntaxGer, ParadigmsGer in { - oper - wine_N = mkN "Wein" ; - beer_N = mkN "Bier" "Biere" neuter ; - pizza_N = mkN "Pizza" "Pizzen" feminine ; - cheese_N = mkN "Käse" "Käsen" masculine ; - fish_N = mkN "Fisch" ; - fresh_A = mkA "frisch" ; - warm_A = mkA "warm" "wärmer" "wärmste" ; - italian_A = mkA "italienisch" ; - expensive_A = mkA "teuer" ; - delicious_A = mkA "köstlich" ; - boring_A = mkA "langweilig" ; - } -``` -Just to complete the picture, we repeat the German functor instantiation -for ``FoodI``, this time with a path directive that makes it compilable. -``` - --# -path=.:present:prelude - - concrete FoodGer of Food = FoodI with - (Syntax = SyntaxGer), - (LexFood = LexFoodGer) ; -``` - - -**Exercise**. Compile and test ``FoodGer``. - -**Exercise**. Refactor ``FoodFre`` into a functor instantiation. - - - -==Adding languages to a functor implementation== - -Once we have an application grammar defined by using a functor, -adding a new language is simple. Just two modules need to be written: -- a domain lexicon instance -- a functor instantiation - - -The functor instantiation is completely mechanical to write. -Here is one for Finnish: -``` ---# -path=.:present:prelude - -concrete FoodFin of Food = FoodI with - (Syntax = SyntaxFin), - (LexFood = LexFoodFin) ; -``` -The domain lexicon instance requires some knowledge of the words of the -language: what words are used for which concepts, how the words are -inflected, plus features such as genders. Here is a lexicon instance for -Finnish: -``` - instance LexFoodFin of LexFood = open SyntaxFin, ParadigmsFin in { - oper - wine_N = mkN "viini" ; - beer_N = mkN "olut" ; - pizza_N = mkN "pizza" ; - cheese_N = mkN "juusto" ; - fish_N = mkN "kala" ; - fresh_A = mkA "tuore" ; - warm_A = mkA "lämmin" ; - italian_A = mkA "italialainen" ; - expensive_A = mkA "kallis" ; - delicious_A = mkA "herkullinen" ; - boring_A = mkA "tylsä" ; - } -``` - -**Exercise**. Instantiate the functor ``FoodI`` to some language of -your choice. - - -==Division of labour revisited== - -One purpose with the resource grammars was stated to be a division -of labour between linguists and application grammarians. We can now -reflect on what this means more precisely, by asking ourselves what -skills are required of grammarians working on different components. - -Building a GF application starts from the abstract syntax. Writing -an abstract syntax requires -- understanding the semantic structure of the application domain -- knowledge of the GF fragment with categories and functions - - -If the concrete syntax is written by means of a functor, the programmer -has to decide what parts of the implementation are put to the interface -and what parts are shared in the functor. This requires -- knowing how the domain concepts are expressed in natural language -- knowledge of the resource grammar library - the categories and combinators -- understanding what parts are likely to be expressed in language-dependent - ways, so that they must belong to the interface and not the functor -- knowledge of the GF fragment with function applications and strings - - -Instantiating a ready-made functor to a new language is less demanding. -It requires essentially -- knowing how the domain words are expressed in the language -- knowing, roughly, how these words are inflected -- knowledge of the paradigms available in the library -- knowledge of the GF fragment with function applications and strings - - -Notice that none of these tasks requires the use of GF records, tables, -or parameters. Thus only a small fragment of GF is needed; the rest of -GF is only relevant for those who write the libraries. - -Of course, grammar writing is not always straightforward usage of libraries. -For example, GF can be used for other languages than just those in the -libraries - for both natural and formal languages. A knowledge of records -and tables can, unfortunately, also be needed for understanding GF's error -messages. - -**Exercise**. Design a small grammar that can be used for controlling -an MP3 player. The grammar should be able to recognize commands such -as //play this song//, with the following variations: -- verbs: //play//, //remove// -- objects: //song//, //artist// -- determiners: //this//, //the previous// -- verbs without arguments: //stop//, //pause// - - -The implementation goes in the following phases: -+ abstract syntax -+ functor and lexicon interface -+ lexicon instance for the first language -+ functor instantiation for the first language -+ lexicon instance for the second language -+ functor instantiation for the second language -+ ... - - - -==Restricted inheritance== - -A functor implementation using the resource ``Syntax`` interface -works as long as all concepts are expressed by using the same structures -in all languages. If this is not the case, the deviant linearization can -be made into a parameter and moved to the domain lexicon interface. - -Let us take a slightly contrived example: assume that English has -no word for ``Pizza``, but has to use the paraphrase //Italian pie//. -This paraphrase is no longer a noun ``N``, but a complex phrase -in the category ``CN``. An obvious way to solve this problem is -to change interface ``LexEng`` so that the constant declared for -``Pizza`` gets a new type: -``` - oper pizza_CN : CN ; -``` -But this solution is unstable: we may end up changing the interface -and the function with each new language, and we must every time also -change the interface instances for the old languages to maintain -type correctness. - -A better solution is to use **restricted inheritance**: the English -instantiation inherits the functor implementation except for the -constant ``Pizza``. This is how we write: -``` - --# -path=.:present:prelude - - concrete FoodEng of Food = FoodI - [Pizza] with - (Syntax = SyntaxEng), - (LexFood = LexFoodEng) ** - open SyntaxEng, ParadigmsEng in { - - lin Pizza = mkCN (mkA "Italian") (mkN "pie") ; - } -``` -Restricted inheritance is available for all inherited modules. One can for -instance exclude some mushrooms and pick up just some fruit in -the ``FoodMarket`` example: -``` - abstract Foodmarket = Food, Fruit [Peach], Mushroom - [Agaric] -``` -A concrete syntax of ``Foodmarket`` must then indicate the same inheritance -restrictions. - - -**Exercise**. Change ``FoodGer`` in such a way that it says, instead of -//X is Y//, the equivalent of //X must be Y// (//X muss Y sein//). -You will have to browse the full resource API to find all -the functions needed. - - -==Browsing the resource with GF commands== - -In addition to reading the -[resource synopsis ../../lib/resource-1.0/synopsis.html], you -can find resource function combinations by using the parser. This -is so because the resource library is in the end implemented as -a top-level ``abstract-concrete`` grammar, on which parsing -and linearization work. - -Unfortunately, only English and the Scandinavian languages can be -parsed within acceptable computer resource limits when the full -resource is used. - -To look for a syntax tree in the overload API by parsing, do like this: -``` - > $GF_LIB_PATH - > i -path=alltenses:prelude alltenses/OverLangEng.gfc - > p -cat=S -overload "this grammar is too big" - mkS (mkCl (mkNP (mkDet this_Quant) grammar_N) (mkAP too_AdA big_A)) -``` -To view linearizations in all languages by parsing from English: -``` - > i alltenses/langs.gfcm - > p -cat=S -lang=LangEng "this grammar is too big" | tb - UseCl TPres ASimul PPos (PredVP (DetCN (DetSg (SgQuant this_Quant) - NoOrd) (UseN grammar_N)) (UseComp (CompAP (AdAP too_AdA (PositA big_A))))) - Den här grammatiken är för stor - Esta gramática es demasiado grande - (Cyrillic: eta grammatika govorit des'at' jazykov) - Denne grammatikken er for stor - Questa grammatica è troppo grande - Diese Grammatik ist zu groß - Cette grammaire est trop grande - Tämä kielioppi on liian suuri - This grammar is too big - Denne grammatik er for stor -``` -Unfortunately, the Russian grammar uses at the moment a different -character encoding than the rest and is therefore not displayed correctly -in a terminal window. However, the GF syntax editor does display all -examples correctly: -``` - % gfeditor alltenses/langs.gfcm -``` -When you have constructed the tree, you will see the following screen: - -#BCEN - - [../../lib/resource-1.0/doc/10lang-small.png] - -#ECEN - - -**Exercise**. Find the resource grammar translations for the following -English phrases (parse in the category ``Phr``). You can first try to -build the terms manually. - -//every man loves a woman// - -//this grammar speaks more than ten languages// - -//which languages aren't in the grammar// - -//which languages did you want to speak// - - - -=More concepts of abstract syntax= - -==GF as a logical framework== - -In this section, we will show how -to encode advanced semantic concepts in an abstract syntax. -We use concepts inherited from **type theory**. Type theory -is the basis of many systems known as **logical frameworks**, which are -used for representing mathematical theorems and their proofs on a computer. -In fact, GF has a logical framework as its proper part: -this part is the abstract syntax. - -In a logical framework, the formalization of a mathematical theory -is a set of type and function declarations. The following is an example -of such a theory, represented as an ``abstract`` module in GF. -``` -abstract Arithm = { - cat - Prop ; -- proposition - Nat ; -- natural number - fun - Zero : Nat ; -- 0 - Succ : Nat -> Nat ; -- successor of x - Even : Nat -> Prop ; -- x is even - And : Prop -> Prop -> Prop ; -- A and B - } -``` - -**Exercise**. Give a concrete syntax of ``Arithm``, either from scatch or -by using the resource library. - - - - -==Dependent types== - -**Dependent types** are a characteristic feature of GF, -inherited from the **constructive type theory** of Martin-Löf and -distinguishing GF from most other grammar formalisms and -functional programming languages. - -Dependent types can be used for stating stronger -**conditions of well-formedness** than ordinary types. -A simple example is a "smart house" system, which -defines voice commands for household appliances. This example -is borrowed from the -[Regulus Book http://cslipublications.stanford.edu/site/1575865262.html] -(Rayner & al. 2006). - -One who enters a smart house can use speech to dim lights, switch -on the fan, etc. For each ``Kind`` of a device, there is a set of -``Actions`` that can be performed on it; thus one can dim the lights but - not the fan, for example. These dependencies can be expressed by -by making the type ``Action`` dependent on ``Kind``. We express this -as follows in ``cat`` declarations: -``` - cat - Command ; - Kind ; - Action Kind ; - Device Kind ; -``` -The crucial use of the dependencies is made in the rule for forming commands: -``` - fun CAction : (k : Kind) -> Action k -> Device k -> Command ; -``` -In other words: an action and a device can be combined into a command only -if they are of the same ``Kind`` ``k``. If we have the functions -``` - DKindOne : (k : Kind) -> Device k ; -- the light - - light, fan : Kind ; - dim : Action light ; -``` -we can form the syntax tree -``` - CAction light dim (DKindOne light) -``` -but we cannot form the trees -``` - CAction light dim (DKindOne fan) - CAction fan dim (DKindOne light) - CAction fan dim (DKindOne fan) -``` -Linearization rules are written as usual: the concrete syntax does not -know if a category is a dependent type. In English, you can write as follows: -``` - lincat Action = {s : Str} ; - lin CAction kind act dev = {s = act.s ++ dev.s} ; -``` -Notice that the argument ``kind`` does not appear in the linearization. -The type checker will be able to reconstruct it from the ``dev`` argument. - -Parsing with dependent types is performed in two phases: -+ context-free parsing -+ filtering through type checker - - -If you just parse in the usual way, you don't enter the second phase, and -the ``kind`` argument is not found: -``` - > parse "dim the light" - CAction ? dim (DKindOne light) -``` -Moreover, type-incorrect commands are not rejected: -``` - > parse "dim the fan" - CAction ? dim (DKindOne fan) -``` -The question mark ``?`` is a **metavariable**, and is returned by the parser -for any subtree that is suppressed by a linearization rule. - -To get rid of metavariables, you must feed the parse result into the -second phase of **solving** them. The ``solve`` process uses the dependent -type checker to restore the values of the metavariables. It is invoked by -the command ``put_tree = pt`` with the flag ``-transform=solve``: -``` - > parse "dim the light" | put_tree -transform=solve - CAction light dim (DKindOne light) -``` -The ``solve`` process may fail, in which case no tree is returned: -``` - > parse "dim the fan" | put_tree -transform=solve - no tree found -``` - - -**Exercise**. Write an abstract syntax module with above contents -and an appropriate English concrete syntax. Try to parse the commands -//dim the light// and //dim the fan//, with and without ``solve`` filtering. - - -**Exercise**. Perform random and exhaustive generation, with and without -``solve`` filtering. - -**Exercise**. Add some device kinds and actions to the grammar. - - -==Polymorphism== - -Sometimes an action can be performed on all kinds of devices. It would be -possible to introduce separate ``fun`` constants for each kind-action pair, -but this would be tedious. Instead, one can use **polymorphic** actions, -i.e. actions that take a ``Kind`` as an argument and produce an ``Action`` -for that ``Kind``: -``` - fun switchOn, switchOff : (k : Kind) -> Action k ; -``` -Functions that are not polymorphic are **monomorphic**. However, the -dichotomy into monomorphism and full polymorphism is not always sufficien -for good semantic modelling: very typically, some actions are defined -for a proper subset of devices, but not just one. For instance, both doors and -windows can be opened, whereas lights cannot. -We will return to this problem by introducing the -concept of **restricted polymorphism** later, -after a chapter on proof objects. - - - -==Dependent types and spoken language models== - -We have used dependent types to control semantic well-formedness -in grammars. This is important in traditional type theory -applications such as proof assistants, where only mathematically -meaningful formulas should be constructed. But semantic filtering has -also proved important in speech recognition, because it reduces the -ambiguity of the results. - - -===Grammar-based language models=== - -The standard way of using GF in speech recognition is by building -**grammar-based language models**. To this end, GF comes with compilers -into several formats that are used in speech recognition systems. -One such format is GSL, used in the [Nuance speech recognizer www.nuance.com]. -It is produced from GF simply by printing a grammar with the flag -``-printer=gsl``. -``` - > import -conversion=finite SmartEng.gf - > print_grammar -printer=gsl - - ;GSL2.0 - ; Nuance speech recognition grammar for SmartEng - ; Generated by GF - - .MAIN SmartEng_2 - - SmartEng_0 [("switch" "off") ("switch" "on")] - SmartEng_1 ["dim" ("switch" "off") - ("switch" "on")] - SmartEng_2 [(SmartEng_0 SmartEng_3) - (SmartEng_1 SmartEng_4)] - SmartEng_3 ("the" SmartEng_5) - SmartEng_4 ("the" SmartEng_6) - SmartEng_5 "fan" - SmartEng_6 "light" -``` -Now, GSL is a context-free format, so how does it cope with dependent types? -In general, dependent types can give rise to infinitely many basic types -(exercise!), whereas a context-free grammar can by definition only have -finitely many nonterminals. - -This is where the flag ``-conversion=finite`` is needed in the ``import`` -command. Its effect is to convert a GF grammar with dependent types to -one without, so that each instance of a dependent type is replaced by -an atomic type. This can then be used as a nonterminal in a context-free -grammar. The ``finite`` conversion presupposes that every -dependent type has only finitely many instances, which is in fact -the case in the ``Smart`` grammar. - - -**Exercise**. If you have access to the Nuance speech recognizer, -test it with GF-generated language models for ``SmartEng``. Do this -both with and without ``-conversion=finite``. - -**Exercise**. Construct an abstract syntax with infinitely many instances -of dependent types. - - -===Statistical language models=== - -An alternative to grammar-based language models are -**statistical language models** (**SLM**s). An SLM is -built from a **corpus**, i.e. a set of utterances. It specifies the -probability of each **n-gram**, i.e. sequence of //n// words. The -typical value of //n// is 2 (bigrams) or 3 (trigrams). - -One advantage of SLMs over grammar-based models is that they are -**robust**, i.e. they can be used to recognize sequences that would -be out of the grammar or the corpus. Another advantage is that -an SLM can be built "for free" if a corpus is available. - -However, collecting a corpus can require a lot of work, and writing -a grammar can be less demanding, especially with tools such as GF or -Regulus. This advantage of grammars can be combined with robustness -by creating a back-up SLM from a **synthesized corpus**. This means -simply that the grammar is used for generating such a corpus. -In GF, this can be done with the ``generate_trees`` command. -As with grammar-based models, the quality of the SLM is better -if meaningless utterances are excluded from the corpus. Thus -a good way to generate an SLM from a GF grammar is by using -dependent types and filter the results through the type checker: -``` - > generate_trees | put_trees -transform=solve | linearize -``` - - -**Exercise**. Measure the size of the corpus generated from -``SmartEng``, with and without type checker filtering. - - - -==Digression: dependent types in concrete syntax== - -===Variables in function types=== - -A dependent function type needs to introduce a variable for -its argument type, as in -``` - switchOff : (k : Kind) -> Action k -``` -Function types //without// -variables are actually a shorthand notation: writing -``` - fun PredVP : NP -> VP -> S -``` -is shorthand for -``` - fun PredVP : (x : NP) -> (y : VP) -> S -``` -or any other naming of the variables. Actually the use of variables -sometimes shortens the code, since they can share a type: -``` - octuple : (x,y,z,u,v,w,s,t : Str) -> Str -``` -If a bound variable is not used, it can here, as elsewhere in GF, be replaced by -a wildcard: -``` - octuple : (_,_,_,_,_,_,_,_ : Str) -> Str -``` -A good practice for functions with many arguments of the same type -is to indicate the number of arguments: -``` - octuple : (x1,_,_,_,_,_,_,x8 : Str) -> Str -``` -One can also use the variables to document what each argument is expected -to provide, as is done in inflection paradigms in the resource grammar. -``` - mkV : (drink,drank,drunk : Str) -> V -``` - - -===Polymorphism in concrete syntax=== - -The **functional fragment** of GF -terms and types comprises function types, applications, lambda -abstracts, constants, and variables. This fragment is similar in -abstract and concrete syntax. In particular, -dependent types are also available in concrete syntax. -We have not made use of them yet, -but we will now look at one example of how they -can be used. - -Those readers who are familiar with functional programming languages -like ML and Haskell, may already have missed **polymorphic** -functions. For instance, Haskell programmers have access to -the functions -``` - const :: a -> b -> a - const c _ = c - - flip :: (a -> b -> c) -> b -> a -> c - flip f y x = f x y -``` -which can be used for any given types ``a``,``b``, and ``c``. - -The GF counterpart of polymorphic functions are **monomorphic** -functions with explicit **type variables**. Thus the above -definitions can be written -``` - oper const :(a,b : Type) -> a -> b -> a = - \_,_,c,_ -> c ; - - oper flip : (a,b,c : Type) -> (a -> b ->c) -> b -> a -> c = - \_,_,_,f,x,y -> f y x ; -``` -When the operations are used, the type checker requires -them to be equipped with all their arguments; this may be a nuisance -for a Haskell or ML programmer. - - - -==Proof objects== - -Perhaps the most well-known idea in constructive type theory is -the **Curry-Howard isomorphism**, also known as the -**propositions as types principle**. Its earliest formulations -were attempts to give semantics to the logical systems of -propositional and predicate calculus. In this section, we will consider -a more elementary example, showing how the notion of proof is useful -outside mathematics, as well. - -We first define the category of unary (also known as Peano-style) -natural numbers: -``` - cat Nat ; - fun Zero : Nat ; - fun Succ : Nat -> Nat ; -``` -The **successor function** ``Succ`` generates an infinite -sequence of natural numbers, beginning from ``Zero``. - -We then define what it means for a number //x// to be //less than// -a number //y//. Our definition is based on two axioms: -- ``Zero`` is less than ``Succ`` //y// for any //y//. -- If //x// is less than //y//, then ``Succ`` //x// is less than ``Succ`` //y//. - - -The most straightforward way of expressing these axioms in type theory -is as typing judgements that introduce objects of a type ``Less`` //x y//: -``` - cat Less Nat Nat ; - fun lessZ : (y : Nat) -> Less Zero (Succ y) ; - fun lessS : (x,y : Nat) -> Less x y -> Less (Succ x) (Succ y) ; -``` -Objects formed by ``lessZ`` and ``lessS`` are -called **proof objects**: they establish the truth of certain -mathematical propositions. -For instance, the fact that 2 is less that -4 has the proof object -``` - lessS (Succ Zero) (Succ (Succ (Succ Zero))) - (lessS Zero (Succ (Succ Zero)) (lessZ (Succ Zero))) -``` -whose type is -``` - Less (Succ (Succ Zero)) (Succ (Succ (Succ (Succ Zero)))) -``` -which is the formalization of the proposition that 2 is less than 4. - -GF grammars can be used to provide a **semantic control** of -well-formedness of expressions. We have already seen examples of this: -the grammar of well-formed actions on household devices. By introducing proof objects -we have now added a very powerful technique of expressing semantic conditions. - -A simple example of the use of proof objects is the definition of -well-formed //time spans//: a time span is expected to be from an earlier to -a later time: -``` - from 3 to 8 -``` -is thus well-formed, whereas -``` - from 8 to 3 -``` -is not. The following rules for spans impose this condition -by using the ``Less`` predicate: -``` - cat Span ; - fun span : (m,n : Nat) -> Less m n -> Span ; -``` - -**Exercise**. Write an abstract and concrete syntax with the -concepts of this section, and experiment with it in GF. - - -**Exercise**. Define the notions of "even" and "odd" in terms -of proof objects. **Hint**. You need one function for proving -that 0 is even, and two other functions for propagating the -properties. - - - - -===Proof-carrying documents=== - -Another possible application of proof objects is **proof-carrying documents**: -to be semantically well-formed, the abstract syntax of a document must contain a proof -of some property, although the proof is not shown in the concrete document. -Think, for instance, of small documents describing flight connections: - -//To fly from Gothenburg to Prague, first take LH3043 to Frankfurt, then OK0537 to Prague.// - -The well-formedness of this text is partly expressible by dependent typing: -``` - cat - City ; - Flight City City ; - fun - Gothenburg, Frankfurt, Prague : City ; - LH3043 : Flight Gothenburg Frankfurt ; - OK0537 : Flight Frankfurt Prague ; -``` -This rules out texts saying //take OK0537 from Gothenburg to Prague//. -However, there is a -further condition saying that it must be possible to -change from LH3043 to OK0537 in Frankfurt. -This can be modelled as a proof object of a suitable type, -which is required by the constructor -that connects flights. -``` - cat - IsPossible (x,y,z : City)(Flight x y)(Flight y z) ; - fun - Connect : (x,y,z : City) -> - (u : Flight x y) -> (v : Flight y z) -> - IsPossible x y z u v -> Flight x z ; -``` - - -==Restricted polymorphism== - -In the first version of the smart house grammar ``Smart``, -all Actions were either of -- **monomorphic**: defined for one Kind -- **polymorphic**: defined for all Kinds - - -To make this scale up for new Kinds, we can refine this to -**restricted polymorphism**: defined for Kinds of a certain **class** - - -The notion of class can be expressed in abstract syntax -by using the Curry-Howard isomorphism as follows: -- a class is a **predicate** of Kinds - i.e. a type depending of Kinds -- a Kind is in a class if there is a proof object of this type - - -Here is an example with switching and dimming. The classes are called -``switchable`` and ``dimmable``. -``` -cat - Switchable Kind ; - Dimmable Kind ; -fun - switchable_light : Switchable light ; - switchable_fan : Switchable fan ; - dimmable_light : Dimmable light ; - - switchOn : (k : Kind) -> Switchable k -> Action k ; - dim : (k : Kind) -> Dimmable k -> Action k ; -``` -One advantage of this formalization is that classes for new -actions can be added incrementally. - -**Exercise**. Write a new version of the ``Smart`` grammar with -classes, and test it in GF. - -**Exercise**. Add some actions, kinds, and classes to the grammar. -Try to port the grammar to a new language. You will probably find -out that restricted polymorphism works differently in different languages. -For instance, in Finnish not only doors but also TVs and radios -can be "opened", which means switching them on. - - -==Variable bindings== - -Mathematical notation and programming languages have -expressions that **bind** variables. For instance, -a universally quantifier proposition -``` - (All x)B(x) -``` -consists of the **binding** ``(All x)`` of the variable ``x``, -and the **body** ``B(x)``, where the variable ``x`` can have -**bound occurrences**. - -Variable bindings appear in informal mathematical language as well, for -instance, -``` - for all x, x is equal to x - - the function that for any numbers x and y returns the maximum of x+y - and x*y - - Let x be a natural number. Assume that x is even. Then x + 3 is odd. -``` -In type theory, variable-binding expression forms can be formalized -as functions that take functions as arguments. The universal -quantifier is defined -``` - fun All : (Ind -> Prop) -> Prop -``` -where ``Ind`` is the type of individuals and ``Prop``, -the type of propositions. If we have, for instance, the equality predicate -``` - fun Eq : Ind -> Ind -> Prop -``` -we may form the tree -``` - All (\x -> Eq x x) -``` -which corresponds to the ordinary notation -``` - (All x)(x = x). -``` -An abstract syntax where trees have functions as arguments, as in -the two examples above, has turned out to be precisely the right -thing for the semantics and computer implementation of -variable-binding expressions. The advantage lies in the fact that -only one variable-binding expression form is needed, the lambda abstract -``\x -> b``, and all other bindings can be reduced to it. -This makes it easier to implement mathematical theories and reason -about them, since variable binding is tricky to implement and -to reason about. The idea of using functions as arguments of -syntactic constructors is known as **higher-order abstract syntax**. - -The question now arises: how to define linearization rules -for variable-binding expressions? -Let us first consider universal quantification, -``` - fun All : (Ind -> Prop) -> Prop -``` -We write -``` - lin All B = {s = "(" ++ "All" ++ B.$0 ++ ")" ++ B.s} -``` -to obtain the form shown above. -This linearization rule brings in a new GF concept - the ``$0`` -field of ``B`` containing a bound variable symbol. -The general rule is that, if an argument type of a function is -itself a function type ``A -> C``, the linearization type of -this argument is the linearization type of ``C`` -together with a new field ``$0 : Str``. In the linearization rule -for ``All``, the argument ``B`` thus has the linearization -type -``` - {$0 : Str ; s : Str}, -``` -since the linearization type of ``Prop`` is -``` - {s : Str} -``` -In other words, the linearization of a function -consists of a linearization of the body together with a -field for a linearization of the bound variable. -Those familiar with type theory or lambda calculus -should notice that GF requires trees to be in -**eta-expanded** form in order to be linearizable: -any function of type -``` - A -> B -``` -always has a syntax tree of the form -``` - \x -> b -``` -where ``b : B`` under the assumption ``x : A``. -It is in this form that an expression can be analysed -as having a bound variable and a body. - - -Given the linearization rule -``` - lin Eq a b = {s = "(" ++ a.s ++ "=" ++ b.s ++ ")"} -``` -the linearization of -``` - \x -> Eq x x -``` -is the record -``` - {$0 = "x", s = ["( x = x )"]} -``` -Thus we can compute the linearization of the formula, -``` - All (\x -> Eq x x) --> {s = "[( All x ) ( x = x )]"}. -``` -How did we get the //linearization// of the variable ``x`` -into the string ``"x"``? GF grammars have no rules for -this: it is just hard-wired in GF that variable symbols are -linearized into the same strings that represent them in -the print-out of the abstract syntax. - -To be able to //parse// variable symbols, however, GF needs to know what -to look for (instead of e.g. trying to parse //any// -string as a variable). What strings are parsed as variable symbols -is defined in the lexical analysis part of GF parsing -``` - > p -cat=Prop -lexer=codevars "(All x)(x = x)" - All (\x -> Eq x x) -``` -(see more details on lexers below). If several variables are bound in the -same argument, the labels are ``$0, $1, $2``, etc. - - -**Exercise**. Write an abstract syntax of the whole -**predicate calculus**, with the -**connectives** "and", "or", "implies", and "not", and the -**quantifiers** "exists" and "for all". Use higher-order functions -to guarantee that unbounded variables do not occur. - -**Exercise**. Write a concrete syntax for your favourite -notation of predicate calculus. Use Latex as target language -if you want nice output. You can also try producing Haskell boolean -expressions. Use as many parenthesis as you need to -guarantee non-ambiguity. - - - -==Semantic definitions== - -We have seen that, -just like functional programming languages, GF has declarations -of functions, telling what the type of a function is. -But we have not yet shown how to **compute** -these functions: all we can do is provide them with arguments -and linearize the resulting terms. -Since our main interest is the well-formedness of expressions, -this has not yet bothered -us very much. As we will see, however, computation does play a role -even in the well-formedness of expressions when dependent types are -present. - -GF has a form of judgement for **semantic definitions**, -recognized by the key word ``def``. At its simplest, it is just -the definition of one constant, e.g. -``` - def one = Succ Zero ; -``` -We can also define a function with arguments, -``` - def Neg A = Impl A Abs ; -``` -which is still a special case of the most general notion of -definition, that of a group of **pattern equations**: -``` - def - sum x Zero = x ; - sum x (Succ y) = Succ (Sum x y) ; -``` -To compute a term is, as in functional programming languages, -simply to follow a chain of reductions until no definition -can be applied. For instance, we compute -``` - Sum one one --> - Sum (Succ Zero) (Succ Zero) --> - Succ (sum (Succ Zero) Zero) --> - Succ (Succ Zero) -``` -Computation in GF is performed with the ``pt`` command and the -``compute`` transformation, e.g. -``` - > p -tr "1 + 1" | pt -transform=compute -tr | l - sum one one - Succ (Succ Zero) - s(s(0)) -``` - -The ``def`` definitions of a grammar induce a notion of -**definitional equality** among trees: two trees are -definitionally equal if they compute into the same tree. -Thus, trivially, all trees in a chain of computation -(such as the one above) -are definitionally equal to each other. So are the trees -``` - sum Zero (Succ one) - Succ one - sum (sum Zero Zero) (sum (Succ Zero) one) -``` -and infinitely many other trees. - -A fact that has to be emphasized about ``def`` definitions is that -they are //not// performed as a first step of linearization. -We say that **linearization is intensional**, which means that -the definitional equality of two trees does not imply that -they have the same linearizations. For instance, each of the seven terms -shown above has a different linearizations in arithmetic notation: -``` - 1 + 1 - s(0) + s(0) - s(s(0) + 0) - s(s(0)) - 0 + s(0) - s(1) - 0 + 0 + s(0) + 1 -``` -This notion of intensionality is -no more exotic than the intensionality of any **pretty-printing** -function of a programming language (function that shows -the expressions of the language as strings). It is vital for -pretty-printing to be intensional in this sense - if we want, -for instance, to trace a chain of computation by pretty-printing each -intermediate step, what we want to see is a sequence of different -expression, which are definitionally equal. - -What is more exotic is that GF has two ways of referring to the -abstract syntax objects. In the concrete syntax, the reference is intensional. -In the abstract syntax, the reference is extensional, since -**type checking is extensional**. The reason is that, -in the type theory with dependent types, types may depend on terms. -Two types depending on terms that are definitionally equal are -equal types. For instance, -``` - Proof (Odd one) - Proof (Odd (Succ Zero)) -``` -are equal types. Hence, any tree that type checks as a proof that -1 is odd also type checks as a proof that the successor of 0 is odd. -(Recall, in this connection, that the -arguments a category depends on never play any role -in the linearization of trees of that category, -nor in the definition of the linearization type.) - -In addition to computation, definitions impose a -**paraphrase** relation on expressions: -two strings are paraphrases if they -are linearizations of trees that are -definitionally equal. -Paraphrases are sometimes interesting for -translation: the **direct translation** -of a string, which is the linearization of the same tree -in the targer language, may be inadequate because it is e.g. -unidiomatic or ambiguous. In such a case, -the translation algorithm may be made to consider -translation by a paraphrase. - -To stress express the distinction between -**constructors** (=**canonical** functions) -and other functions, GF has a judgement form -``data`` to tell that certain functions are canonical, e.g. -``` - data Nat = Succ | Zero ; -``` -Unlike in Haskell, but similarly to ALF (where constructor functions -are marked with a flag ``C``), -new constructors can be added to -a type with new ``data`` judgements. The type signatures of constructors -are given separately, in ordinary ``fun`` judgements. -One can also write directly -``` - data Succ : Nat -> Nat ; -``` -which is equivalent to the two judgements -``` - fun Succ : Nat -> Nat ; - data Nat = Succ ; -``` - -**Exercise**. Implement an interpreter of a small functional programming -language with natural numbers, lists, pairs, lambdas, etc. Use higher-order -abstract syntax with semantic definitions. As target language, use -your favourite programming language. - -**Exercise**. To make your interpreted language look nice, use -**precedences** instead of putting parentheses everywhere. -You can use the [precedence library ../../lib/prelude/Precedence.gf] -of GF to facilitate this. - - -=Practical issues= - -==Lexers and unlexers== - -Lexers and unlexers can be chosen from -a list of predefined ones, using the flags``-lexer`` and `` -unlexer`` either -in the grammar file or on the GF command line. Here are some often-used lexers -and unlexers: -``` - The default is words. - -lexer=words tokens are separated by spaces or newlines - -lexer=literals like words, but GF integer and string literals recognized - -lexer=vars like words, but "x","x_...","$...$" as vars, "?..." as meta - -lexer=chars each character is a token - -lexer=code use Haskell's lex - -lexer=codevars like code, but treat unknown words as variables, ?? as meta - -lexer=text with conventions on punctuation and capital letters - -lexer=codelit like code, but treat unknown words as string literals - -lexer=textlit like text, but treat unknown words as string literals - - The default is unwords. - -unlexer=unwords space-separated token list (like unwords) - -unlexer=text format as text: punctuation, capitals, paragraph

- -unlexer=code format as code (spacing, indentation) - -unlexer=textlit like text, but remove string literal quotes - -unlexer=codelit like code, but remove string literal quotes - -unlexer=concat remove all spaces -``` -More options can be found by ``help -lexer`` and ``help -unlexer``: - - - - -==Speech input and output== - -The ``speak_aloud = sa`` command sends a string to the speech -synthesizer -[Flite http://www.speech.cs.cmu.edu/flite/doc/]. -It is typically used via a pipe: -``` generate_random | linearize | speak_aloud -The result is only satisfactory for English. - -The ``speech_input = si`` command receives a string from a -speech recognizer that requires the installation of -[ATK http://mi.eng.cam.ac.uk/~sjy/software.htm]. -It is typically used to pipe input to a parser: -``` speech_input -tr | parse -The method words only for grammars of English. - -Both Flite and ATK are freely available through the links -above, but they are not distributed together with GF. - - - -==Multilingual syntax editor== - -The -[Editor User Manual http://www.cs.chalmers.se/~aarne/GF2.0/doc/javaGUImanual/javaGUImanual.htm] -describes the use of the editor, which works for any multilingual GF grammar. - -Here is a snapshot of the editor: - -#BCEN - -#EDITORPNG - -#ECEN - - -The grammars of the snapshot are from the -[Letter grammar package http://www.cs.chalmers.se/~aarne/GF/examples/letter]. - - -==Communicating with GF== - -Other processes can communicate with the GF command interpreter, -and also with the GF syntax editor. Useful flags when invoking GF are -- ``-batch`` suppresses the promps and structures the communication with XML tags. -- ``-s`` suppresses non-output non-error messages and XML tags. -- ``-nocpu`` suppresses CPU time indication. - - -Thus the most silent way to invoke GF is -``` - gf -batch -s -nocpu -``` - - - -=Embedded grammars in Haskell and Java= - -GF grammars can be used as parts of programs written in the -following languages. We will go through a skeleton application in -Haskell, while the next chapter will show how to build an -application in Java. - -We will show how to build a minimal resource grammar -application whose architecture scales up to much -larger applications. The application is run from the -shell by the command -``` - math -``` -whereafter it reads user input in English and French. -To each input line, it answers by the truth value of -the sentence. -``` - ./math - zéro est pair - True - zero is odd - False - zero is even and zero is odd - False -``` -The source of the application consists of the following -files: -``` - LexEng.gf -- English instance of Lex - LexFre.gf -- French instance of Lex - Lex.gf -- lexicon interface - Makefile -- a makefile - MathEng.gf -- English instantiation of MathI - MathFre.gf -- French instantiation of MathI - Math.gf -- abstract syntax - MathI.gf -- concrete syntax functor for Math - Run.hs -- Haskell Main module -``` -The system was built in 22 steps explained below. - - -==Writing GF grammars== - -===Creating the first grammar=== - -1. Write ``Math.gf``, which defines what you want to say. -``` - abstract Math = { - cat Prop ; Elem ; - fun - And : Prop -> Prop -> Prop ; - Even : Elem -> Prop ; - Zero : Elem ; - } -``` -2. Write ``Lex.gf``, which defines which language-dependent -parts are needed in the concrete syntax. These are mostly -words (lexicon), but can in fact be any operations. The definitions -only use resource abstract syntax, which is opened. -``` - interface Lex = open Syntax in { - oper - even_A : A ; - zero_PN : PN ; - } -``` -3. Write ``LexEng.gf``, the English implementation of ``Lex.gf`` -This module uses English resource libraries. -``` - instance LexEng of Lex = open GrammarEng, ParadigmsEng in { - oper - even_A = regA "even" ; - zero_PN = regPN "zero" ; - - } -``` -4. Write ``MathI.gf``, a language-independent concrete syntax of -``Math.gf``. It opens interfaces. -which makes it an incomplete module, aka. parametrized module, aka. -functor. -``` - incomplete concrete MathI of Math = - - open Syntax, Lex in { - - flags startcat = Prop ; - - lincat - Prop = S ; - Elem = NP ; - lin - And x y = mkS and_Conj x y ; - Even x = mkS (mkCl x even_A) ; - Zero = mkNP zero_PN ; - } -``` -5. Write ``MathEng.gf``, which is just an instatiation of ``MathI.gf``, -replacing the interfaces by their English instances. This is the module -that will be used as a top module in GF, so it contains a path to -the libraries. -``` - instance LexEng of Lex = open SyntaxEng, ParadigmsEng in { - oper - even_A = mkA "even" ; - zero_PN = mkPN "zero" ; - } -``` - - -===Testing=== - -6. Test the grammar in GF by random generation and parsing. -``` - $ gf - > i MathEng.gf - > gr -tr | l -tr | p - And (Even Zero) (Even Zero) - zero is evenand zero is even - And (Even Zero) (Even Zero) -``` -When importing the grammar, you will fail if you haven't -- correctly defined your ``GF_LIB_PATH`` as ``GF/lib`` -- installed the resource package or - compiled the resource from source by ``make`` in ``GF/lib/resource-1.0`` - - - -===Adding a new language=== - -7. Now it is time to add a new language. Write a French lexicon ``LexFre.gf``: -``` - instance LexFre of Lex = open SyntaxFre, ParadigmsFre in { - oper - even_A = mkA "pair" ; - zero_PN = mkPN "zéro" ; - } -``` -8. You also need a French concrete syntax, ``MathFre.gf``: -``` - --# -path=.:present:prelude - - concrete MathFre of Math = MathI with - (Syntax = SyntaxFre), - (Lex = LexFre) ; -``` -9. This time, you can test multilingual generation: -``` - > i MathFre.gf - > gr | tb - Even Zero - zéro est pair - zero is even -``` - - -===Extending the language=== - -10. You want to add a predicate saying that a number is odd. -It is first added to ``Math.gf``: -``` - fun Odd : Elem -> Prop ; -``` -11. You need a new word in ``Lex.gf``. -``` - oper odd_A : A ; -``` -12. Then you can give a language-independent concrete syntax in -``MathI.gf``: -``` - lin Odd x = mkS (mkCl x odd_A) ; -``` -13. The new word is implemented in ``LexEng.gf``. -``` - oper odd_A = mkA "odd" ; -``` -14. The new word is implemented in ``LexFre.gf``. -``` - oper odd_A = mkA "impair" ; -``` -15. Now you can test with the extended lexicon. First empty -the environment to get rid of the old abstract syntax, then -import the new versions of the grammars. -``` - > e - > i MathEng.gf - > i MathFre.gf - > gr | tb - And (Odd Zero) (Even Zero) - zéro est impair et zéro est pair - zero is odd and zero is even -``` - - -==Building a user program== - -===Producing a compiled grammar package=== - -16. Your grammar is going to be used by persons wh``MathEng.gf``o do not need -to compile it again. They may not have access to the resource library, -either. Therefore it is advisable to produce a multilingual grammar -package in a single file. We call this package ``math.gfcm`` and -produce it, when we have ``MathEng.gf`` and -``MathEng.gf`` in the GF state, by the command -``` - > pm | wf math.gfcm -``` - - -===Writing the Haskell application=== - -17. Write the Haskell main file ``Run.hs``. It uses the ``EmbeddedAPI`` -module defining some basic functionalities such as parsing. -The answer is produced by an interpreter of trees returned by the parser. -``` -module Main where - -import GSyntax -import GF.Embed.EmbedAPI - -main :: IO () -main = do - gr <- file2grammar "math.gfcm" - loop gr - -loop :: MultiGrammar -> IO () -loop gr = do - s <- getLine - interpret gr s - loop gr - -interpret :: MultiGrammar -> String -> IO () -interpret gr s = do - let tss = parseAll gr "Prop" s - case (concat tss) of - [] -> putStrLn "no parse" - t:_ -> print $ answer $ fg t - -answer :: GProp -> Bool -answer p = case p of - (GOdd x1) -> odd (value x1) - (GEven x1) -> even (value x1) - (GAnd x1 x2) -> answer x1 && answer x2 - -value :: GElem -> Int -value e = case e of - GZero -> 0 -``` - -18. The syntax trees manipulated by the interpreter are not raw -GF trees, but objects of the Haskell datatype ``GProp``. -From any GF grammar, a file ``GFSyntax.hs`` with -datatypes corresponding to its abstract -syntax can be produced by the command -``` - > pg -printer=haskell | wf GSyntax.hs -``` -The module also defines the overloaded functions -``gf`` and ``fg`` for translating from these types to -raw trees and back. - - -===Compiling the Haskell grammar=== - -19. Before compiling ``Run.hs``, you must check that the -embedded GF modules are found. The easiest way to do this -is by two symbolic links to your GF source directories: -``` - $ ln -s /home/aarne/GF/src/GF - $ ln -s /home/aarne/GF/src/Transfer/ -``` - -20. Now you can run the GHC Haskell compiler to produce the program. -``` - $ ghc --make -o math Run.hs -``` -The program can be tested with the command ``./math``. - - -===Building a distribution=== - -21. For a stand-alone binary-only distribution, only -the two files ``math`` and ``math.gfcm`` are needed. -For a source distribution, the files mentioned in -the beginning of this documents are needed. - - -===Using a Makefile=== - -22. As a part of the source distribution, a ``Makefile`` is -essential. The ``Makefile`` is also useful when developing the -application. It should always be possible to build an executable -from source by typing ``make``. Here is a minimal such ``Makefile``: -``` - all: - echo "pm | wf math.gfcm" | gf MathEng.gf MathFre.gf - echo "pg -printer=haskell | wf GSyntax.hs" | gf math.gfcm - ghc --make -o math Run.hs -``` - - - - -=Embedded grammars in Java= - -Forthcoming; at the moment, the document - - [``http://www.cs.chalmers.se/~bringert/gf/gf-java.html`` http://www.cs.chalmers.se/~bringert/gf/gf-java.html] - -by Björn Bringert gives more information on Java. - - - -=Further reading= - -Syntax Editor User Manual: - -[``http://www.cs.chalmers.se/~aarne/GF2.0/doc/javaGUImanual/javaGUImanual.htm`` http://www.cs.chalmers.se/~aarne/GF2.0/doc/javaGUImanual/javaGUImanual.htm] - -Resource Grammar Synopsis (on using resource grammars): - -[``http://www.cs.chalmers.se/~aarne/GF/lib/resource-1.0/synopsis.html`` ../../lib/resource-1.0/synopsis.html] - -Resource Grammar HOWTO (on writing resource grammars): - -[``http://www.cs.chalmers.se/~aarne/GF/lib/resource-1.0/synopsis.html`` ../../lib/resource-1.0/doc/Resource-HOWTO.html] - -GF Homepage: - -[``http://www.cs.chalmers.se/~aarne/GF/doc`` ../..] - diff --git a/doc/tutorial/gf-tutorial2_1.html b/doc/tutorial/gf-tutorial2_1.html deleted file mode 100644 index 5576428b5..000000000 --- a/doc/tutorial/gf-tutorial2_1.html +++ /dev/null @@ -1,3504 +0,0 @@ - - - - - -Grammatical Framework Tutorial - -

Grammatical Framework Tutorial

- -Author: Aarne Ranta aarne (at) cs.chalmers.se
-Last update: Wed May 30 21:26:11 2007 -
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Introduction

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GF = Grammatical Framework

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-The term GF is used for different things: -

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  • a program used for working with grammars -
  • a programming language in which grammars can be written -
  • a theory about grammars and languages -
- -

-This tutorial is primarily about the GF program and -the GF programming language. -It will guide you -

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  • to use the GF program -
  • to write GF grammars -
  • to write programs in which GF grammars are used as components -
- - -

What are GF grammars used for

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-A grammar is a definition of a language. -From this definition, different language processing components -can be derived: -

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  • parsing: to analyse the language -
  • linearization: to generate the language -
  • translation: to analyse one language and generate another -
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-A GF grammar can be seen as a declarative program from which these -processing tasks can be automatically derived. In addition, many -other tasks are readily available for GF grammars: -

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  • morphological analysis: find out the possible inflection forms of words -
  • morphological synthesis: generate all inflection forms of words -
  • random generation: generate random expressions -
  • corpus generation: generate all expressions -
  • teaching quizzes: train morphology and translation -
  • multilingual authoring: create a document in many languages simultaneously -
  • speech input: optimize a speech recognition system for your grammar -
- -

-A typical GF application is based on a multilingual grammar involving -translation on a special domain. Existing applications of this idea include -

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  • Alfa:: - a natural-language interface to a proof editor - (languages: English, French, Swedish) -
  • KeY: - a multilingual authoring system for creating software specifications - (languages: OCL, English, German) -
  • TALK: - multilingual and multimodal dialogue systems - (languages: English, Finnish, French, German, Italian, Spanish, Swedish) -
  • WebALT: - a multilingual translator of mathematical exercises - (languages: Catalan, English, Finnish, French, Spanish, Swedish) -
  • Numeral translator: - number words from 1 to 999,999 - (88 languages) -
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-The specialization of a grammar to a domain makes it possible to -obtain much better translations than in an unlimited machine translation -system. This is due to the well-defined semantics of such domains. -Grammars having this character are called application grammars. -They are different from most grammars written by linguists just -because they are multilingual and domain-specific. -

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-However, there is another kind of grammars, which we call resource grammars. -These are large, comprehensive grammars that can be used on any domain. -The GF Resource Grammar Library has resource grammars for 10 languages. -These grammars can be used as libraries to define application grammars. -In this way, it is possible to write a high-quality grammar without -knowing about linguistics: in general, to write an application grammar -by using the resource library just requires practical knowledge of -the target language. and all theoretical knowledge about its grammar -is given by the libraries. -

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Who is this tutorial for

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-This tutorial is mainly for programmers who want to learn to write -application grammars. It will go through GF's programming concepts -without entering too deep into linguistics. Thus it should -be accessible to anyone who has some previous programming experience. -

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-A separate document is being written on how to write resource grammars. -This includes the ways in which linguistic problems posed by different -languages are solved in GF. -

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The coverage of the tutorial

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-The tutorial gives a hands-on introduction to grammar writing. -We start by building a small grammar for the domain of food: -in this grammar, you can say things like -

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-    this Italian cheese is delicious
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-in English and Italian. -

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-The first English grammar -food.cf -is written in a context-free -notation (also known as BNF). The BNF format is often a good -starting point for GF grammar development, because it is -simple and widely used. However, the BNF format is not -good for multilingual grammars. While it is possible to -"translate" by just changing the words contained in a -BNF grammar to words of some other -language, proper translation usually involves more. -For instance, the order of words may have to be changed: -

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-    Italian cheese ===> formaggio italiano
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-The full GF grammar format is designed to support such -changes, by separating between the abstract syntax -(the logical structure) and the concrete syntax (the -sequence of words) of expressions. -

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-There is more than words and word order that makes languages -different. Words can have different forms, and which forms -they have vary from language to language. For instance, -Italian adjectives usually have four forms where English -has just one: -

-
-    delicious (wine, wines, pizza, pizzas)
-    vino delizioso, vini deliziosi, pizza deliziosa, pizze deliziose
-
-

-The morphology of a language describes the -forms of its words. While the complete description of morphology -belongs to resource grammars, this tutorial will explain the -programming concepts involved in morphology. This will moreover -make it possible to grow the fragment covered by the food example. -The tutorial will in fact build a miniature resource grammar in order -to illustrate the module structure of library-based application -grammar writing. -

-

-Thus it is by elaborating the initial food.cf example that -the tutorial makes a guided tour through all concepts of GF. -While the constructs of the GF language are the main focus, -also the commands of the GF system are introduced as they -are needed. -

-

-To learn how to write GF grammars is not the only goal of -this tutorial. To learn the commands of the GF system means -that simple applications of grammars, such as translation and -quiz systems, can be built simply by writing scripts for the -system. More complicated applications, such as natural-language -interfaces and dialogue systems, also require programming in -some general-purpose language. We will briefly explain how -GF grammars are used as components of Haskell, Java, Javascript, -and Prolog grammars. The tutorial concludes with a couple of -case studies showing how such complete systems can be built. -

- -

Getting the GF program

-

-The GF program is open-source free software, which you can download via the -GF Homepage: -http://www.cs.chalmers.se/~aarne/GF -

-

-There you can download -

-
    -
  • binaries for Linux, Solaris, Macintosh, and Windows -
  • source code and documentation -
  • grammar libraries and examples -
- -

-If you want to compile GF from source, you need Haskell and Java -compilers. But normally you don't have to compile, and you definitely -don't need to know Haskell or Java to use GF. -

-

-To start the GF program, assuming you have installed it, just type -

-
-    % gf
-
-

-in the shell. You will see GF's welcome message and the prompt >. -The command -

-
-    > help
-
-

-will give you a list of available commands. -

-

-As a common convention in this Tutorial, we will use -

-
    -
  • % as a prompt that marks system commands -
  • > as a prompt that marks GF commands -
- -

-Thus you should not type these prompts, but only the lines that -follow them. -

- -

The .cf grammar format

-

-Now you are ready to try out your first grammar. -We start with one that is not written in the GF language, but -in the much more common BNF notation (Backus Naur Form). The GF -program understands a variant of this notation and translates it -internally to GF's own representation. -

-

-To get started, type (or copy) the following lines into a file named -food.cf: -

-
-  Is.        S       ::= Item "is" Quality ;
-  That.      Item    ::= "that" Kind ;
-  This.      Item    ::= "this" Kind ;
-  QKind.     Kind    ::= Quality Kind ;
-  Cheese.    Kind    ::= "cheese" ;
-  Fish.      Kind    ::= "fish" ;
-  Wine.      Kind    ::= "wine" ;
-  Italian.   Quality ::= "Italian" ;
-  Boring.    Quality ::= "boring" ;
-  Delicious. Quality ::= "delicious" ;
-  Expensive. Quality ::= "expensive" ;
-  Fresh.     Quality ::= "fresh" ;
-  Very.      Quality ::= "very" Quality ;
-  Warm.      Quality ::= "warm" ;
-
-

-For those who know ordinary BNF, the -notation we use includes one extra element: a label appearing -as the first element of each rule and terminated by a full stop. -

-

-The grammar we wrote defines a set of phrases usable for speaking about food. -It builds sentences (S) by assigning Qualitys to -Items. Items are build from Kinds by prepending the -word "this" or "that". Kinds are either atomic, such as -"cheese" and "wine", or formed by prepending a Quality to a -Kind. A Quality is either atomic, such as "Italian" and "boring", -or built by another Quality by prepending "very". Those familiar with -the context-free grammar notation will notice that, for instance, the -following sentence can be built using this grammar: -

-
-    this delicious Italian wine is very very expensive
-
-

- -

Importing grammars and parsing strings

-

-The first GF command needed when using a grammar is to import it. -The command has a long name, import, and a short name, i. -You can type either -

-
-    > import food.cf
-
-

-or -

-
-    > i food.cf
-
-

-to get the same effect. -The effect is that the GF program compiles your grammar into an internal -representation, and shows a new prompt when it is ready. -

-

-You can now use GF for parsing: -

-
-    > parse "this cheese is delicious"
-    Is (This Cheese) Delicious
-  
-    > p "that wine is very very Italian"
-    Is (That Wine) (Very (Very Italian))
-
-

-The parse (= p) command takes a string -(in double quotes) and returns an abstract syntax tree - the thing -beginning with Is. Trees are built from the rule labels given in the -grammar, and record the ways in which the rules are used to produce the -strings. A tree is, in general, something easier than a string -for a machine to understand and to process further. -

-

-Strings that return a tree when parsed do so in virtue of the grammar -you imported. Try parsing something else, and you fail -

-
-    > p "hello world"
-    No success in cf parsing hello world
-    no tree found
-
-

- -

Generating trees and strings

-

-You can also use GF for linearizing -(linearize = l). This is the inverse of -parsing, taking trees into strings: -

-
-    > linearize Is (That Wine) Warm
-    that wine is warm
-
-

-What is the use of this? Typically not that you type in a tree at -the GF prompt. The utility of linearization comes from the fact that -you can obtain a tree from somewhere else. One way to do so is -random generation (generate_random = gr): -

-
-    > generate_random
-    Is (This (QKind Italian Fish)) Fresh
-
-

-Now you can copy the tree and paste it to the linearize command. -Or, more conveniently, feed random generation into linearization by using -a pipe. -

-
-    > gr | l
-    this Italian fish is fresh
-
-

- -

Visualizing trees

-

-The gibberish code with parentheses returned by the parser does not -look like trees. Why is it called so? From the abstract mathematical -point of view, trees are a data structure that -represents nesting: trees are branching entities, and the branches -are themselves trees. Parentheses give a linear representation of trees, -useful for the computer. But the human eye may prefer to see a visualization; -for this purpose, GF provides the command visualizre_tree = vt, to which -parsing (and any other tree-producing command) can be piped: -

-
-    parse "this delicious cheese is very Italian" | vt
-
-

-

- -

- -

Some random-generated sentences

-

-Random generation is a good way to test a grammar; it can also -be quite amusing. So you may want to -generate ten strings with one and the same command: -

-
-    > gr -number=10 | l
-    that wine is boring
-    that fresh cheese is fresh
-    that cheese is very boring
-    this cheese is Italian
-    that expensive cheese is expensive
-    that fish is fresh
-    that wine is very Italian
-    this wine is Italian
-    this cheese is boring
-    this fish is boring
-
-

- -

Systematic generation

-

-To generate all sentence that a grammar -can generate, use the command generate_trees = gt. -

-
-    > generate_trees | l
-    that cheese is very Italian
-    that cheese is very boring
-    that cheese is very delicious
-    that cheese is very expensive
-    that cheese is very fresh
-    ...
-    this wine is expensive
-    this wine is fresh
-    this wine is warm
-  
-
-

-You get quite a few trees but not all of them: only up to a given -depth of trees. To see how you can get more, use the -help = h command, -

-
-    help gt
-
-

-Quiz. If the command gt generated all -trees in your grammar, it would never terminate. Why? -

- -

More on pipes; tracing

-

-A pipe of GF commands can have any length, but the "output type" -(either string or tree) of one command must always match the "input type" -of the next command. -

-

-The intermediate results in a pipe can be observed by putting the -tracing flag -tr to each command whose output you -want to see: -

-
-    > gr -tr | l -tr | p
-  
-    Is (This Cheese) Boring
-    this cheese is boring
-    Is (This Cheese) Boring  
-
-

-This facility is good for test purposes: for instance, you -may want to see if a grammar is ambiguous, i.e. -contains strings that can be parsed in more than one way. -

- -

Writing and reading files

-

-To save the outputs of GF commands into a file, you can -pipe it to the write_file = wf command, -

-
-    > gr -number=10 | l | write_file exx.tmp
-
-

-You can read the file back to GF with the -read_file = rf command, -

-
-    > read_file exx.tmp | p -lines
-
-

-Notice the flag -lines given to the parsing -command. This flag tells GF to parse each line of -the file separately. Without the flag, the grammar could -not recognize the string in the file, because it is not -a sentence but a sequence of ten sentences. -

- -

The .gf grammar format

-

-To see GF's internal representation of a grammar -that you have imported, you can give the command -print_grammar = pg, -

-
-    > print_grammar
-
-

-The output is quite unreadable at this stage, and you may feel happy that -you did not need to write the grammar in that notation, but that the -GF grammar compiler produced it. -

-

-However, we will now start the demonstration -how GF's own notation gives you -much more expressive power than the .cf -format. We will introduce the .gf format by presenting -another way of defining the same grammar as in -food.cf. -Then we will show how the full GF grammar format enables you -to do things that are not possible in the context-free format. -

- -

Abstract and concrete syntax

-

-A GF grammar consists of two main parts: -

-
    -
  • abstract syntax, defining what syntax trees there are -
  • concrete syntax, defining how trees are linearized into strings -
- -

-The context-free format fuses these two things together, but it is always -possible to take them apart. For instance, the sentence formation rule -

-
-    Is. S ::= Item "is" Quality ;
-
-

-is interpreted as the following pair of GF rules: -

-
-    fun Is : Item -> Quality -> S ;
-    lin Is item quality = {s = item.s ++ "is" ++ quality.s} ;
-
-

-The former rule, with the keyword fun, belongs to the abstract syntax. -It defines the function -Is which constructs syntax trees of form -(Is item quality). -

-

-The latter rule, with the keyword lin, belongs to the concrete syntax. -It defines the linearization function for -syntax trees of form (Is item quality). -

- -

Judgement forms

-

-Rules in a GF grammar are called judgements, and the keywords -fun and lin are used for distinguishing between two -judgement forms. Here is a summary of the most important -judgement forms: -

-
    -
  • abstract syntax -

    -
- - - - - - - - - - - - - - -
formreading
cat CC is a category
fun f : Af is a function of type A
- -
    -
  • concrete syntax -

    -
- - - - - - - - - - - - - - -
formreading
lincat C = Tcategory C has linearization type T
lin f = tfunction f has linearization t
- -

-We return to the precise meanings of these judgement forms later. -First we will look at how judgements are grouped into modules, and -show how the food grammar is -expressed by using modules and judgements. -

- -

Module types

-

-A GF grammar consists of modules, -into which judgements are grouped. The most important -module forms are -

-
    -
  • abstract A = M, abstract syntax A with judgements in - the module body M. -
  • concrete C of A = M, concrete syntax C of the - abstract syntax A, with judgements in the module body M. -
- - -

Records and strings

-

-The linearization type of a category is a record type, with -zero of more fields of different types. The simplest record -type used for linearization in GF is -

-
-    {s : Str}
-
-

-which has one field, with label s and type Str. -

-

-Examples of records of this type are -

-
-    {s = "foo"}
-    {s = "hello" ++ "world"}
-
-

-

-Whenever a record r of type {s : Str} is given, -r.s is an object of type Str. This is -a special case of the projection rule, allowing the extraction -of fields from a record: -

-
    -
  • if r : { ... p : T ... } then r.p : T -
- -

-The type Str is really the type of token lists, but -most of the time one can conveniently think of it as the type of strings, -denoted by string literals in double quotes. -

-

-Notice that -

-
-   "hello world"
-
-

-is not recommended as an expression of type Str. It denotes -a token with a space in it, and will usually -not work with the lexical analysis that precedes parsing. A shorthand -exemplified by -

-
-   ["hello world and people"]  === "hello" ++ "world" ++ "and" ++ "people"
-
-

-can be used for lists of tokens. The expression -

-
-   []
-
-

-denotes the empty token list. -

- -

An abstract syntax example

-

-To express the abstract syntax of food.cf in -a file Food.gf, we write two kinds of judgements: -

-
    -
  • Each category is introduced by a cat judgement. -
  • Each rule label is introduced by a fun judgement, - with the type formed from the nonterminals of the rule. -
- -
-    abstract Food = {
-  
-    cat
-      S ; Item ; Kind ; Quality ;
-  
-    fun
-      Is : Item -> Quality -> S ;
-      This, That : Kind -> Item ;
-      QKind : Quality -> Kind -> Kind ;
-      Wine, Cheese, Fish : Kind ;
-      Very : Quality -> Quality ;
-      Fresh, Warm, Italian, Expensive, Delicious, Boring : Quality ;
-    }
-
-

-Notice the use of shorthands permitting the sharing of -the keyword in subsequent judgements, -

-
-    cat S ; Item ;   ===   cat S ; cat Item ; 
-
-

-and of the type in subsequent fun judgements, -

-
-    fun Wine, Fish : Kind ;            ===
-    fun Wine : Kind ; Fish : Kind ;    ===
-    fun Wine : Kind ; fun Fish : Kind ;
-
-

-The order of judgements in a module is free. -

- -

A concrete syntax example

-

-Each category introduced in Food.gf is -given a lincat rule, and each -function is given a lin rule. Similar shorthands -apply as in abstract modules. -

-
-    concrete FoodEng of Food = {
-  
-    lincat
-      S, Item, Kind, Quality = {s : Str} ;
-  
-    lin
-      Is item quality = {s = item.s ++ "is" ++ quality.s} ;
-      This kind = {s = "this" ++ kind.s} ;
-      That kind = {s = "that" ++ kind.s} ;
-      QKind quality kind = {s = quality.s ++ kind.s} ;
-      Wine = {s = "wine"} ;
-      Cheese = {s = "cheese"} ;
-      Fish = {s = "fish"} ;
-      Very quality = {s = "very" ++ quality.s} ;
-      Fresh = {s = "fresh"} ;
-      Warm = {s = "warm"} ;
-      Italian = {s = "Italian"} ;
-      Expensive = {s = "expensive"} ;
-      Delicious = {s = "delicious"} ;
-      Boring = {s = "boring"} ;
-    }
-
-

- -

Modules and files

-

-Source files: Module name + .gf = file name -

-

-Target files: each module is compiled into a .gfc file. -

-

-Import FoodEng.gf and see what happens -

-
-    > i FoodEng.gf
-
-

-The GF program does not only read the file -FoodEng.gf, but also all other files that it -depends on - in this case, Food.gf. -

-

-For each file that is compiled, a .gfc file -is generated. The GFC format (="GF Canonical") is the -"machine code" of GF, which is faster to process than -GF source files. When reading a module, GF decides whether -to use an existing .gfc file or to generate -a new one, by looking at modification times. -

- -

Multilingual grammars and translation

-

-The main advantage of separating abstract from concrete syntax is that -one abstract syntax can be equipped with many concrete syntaxes. -A system with this property is called a multilingual grammar. -

-

-Multilingual grammars can be used for applications such as -translation. Let us build an Italian concrete syntax for -Food and then test the resulting -multilingual grammar. -

- -

An Italian concrete syntax

-
-  concrete FoodIta of Food = {
-  
-    lincat
-      S, Item, Kind, Quality = {s : Str} ;
-  
-    lin
-      Is item quality = {s = item.s ++ "è" ++ quality.s} ;
-      This kind = {s = "questo" ++ kind.s} ;
-      That kind = {s = "quello" ++ kind.s} ;
-      QKind quality kind = {s = kind.s ++ quality.s} ;
-      Wine = {s = "vino"} ;
-      Cheese = {s = "formaggio"} ;
-      Fish = {s = "pesce"} ;
-      Very quality = {s = "molto" ++ quality.s} ;
-      Fresh = {s = "fresco"} ;
-      Warm = {s = "caldo"} ;
-      Italian = {s = "italiano"} ;
-      Expensive = {s = "caro"} ;
-      Delicious = {s = "delizioso"} ;
-      Boring = {s = "noioso"} ;
-  
-  }
-  
-
-

- -

Using a multilingual grammar

-

-Import the two grammars in the same GF session. -

-
-    > i FoodEng.gf
-    > i FoodIta.gf
-
-

-Try generation now: -

-
-    > gr | l
-    quello formaggio molto noioso è italiano
-  
-    > gr | l -lang=FoodEng
-    this fish is warm
-
-

-Translate by using a pipe: -

-
-    > p -lang=FoodEng "this cheese is very delicious" | l -lang=FoodIta
-    questo formaggio è molto delizioso
-
-

-The lang flag tells GF which concrete syntax to use in parsing and -linearization. By default, the flag is set to the last-imported grammar. -To see what grammars are in scope and which is the main one, use the command -print_options = po: -

-
-    > print_options
-    main abstract :     Food
-    main concrete :     FoodIta
-    actual concretes :  FoodIta FoodEng
-
-

- -

Translation session

-

-If translation is what you want to do with a set of grammars, a convenient -way to do it is to open a translation_session = ts. In this session, -you can translate between all the languages that are in scope. -A dot . terminates the translation session. -

-
-    > ts
-  
-    trans> that very warm cheese is boring
-    quello formaggio molto caldo è noioso
-    that very warm cheese is boring
-  
-    trans> questo vino molto italiano è molto delizioso
-    questo vino molto italiano è molto delizioso
-    this very Italian wine is very delicious
-  
-    trans> .
-    >
-
-

- -

Translation quiz

-

-This is a simple language exercise that can be automatically -generated from a multilingual grammar. The system generates a set of -random sentences, displays them in one language, and checks the user's -answer given in another language. The command translation_quiz = tq -makes this in a subshell of GF. -

-
-    > translation_quiz FoodEng FoodIta
-  
-    Welcome to GF Translation Quiz.
-    The quiz is over when you have done at least 10 examples
-    with at least 75 % success.
-    You can interrupt the quiz by entering a line consisting of a dot ('.').
-  
-    this fish is warm
-    questo pesce è caldo
-    > Yes.
-    Score 1/1
-  
-    this cheese is Italian
-    questo formaggio è noioso
-    > No, not questo formaggio è noioso, but
-    questo formaggio è italiano
-  
-    Score 1/2
-    this fish is expensive
-
-

-You can also generate a list of translation exercises and save it in a -file for later use, by the command translation_list = tl -

-
-    > translation_list -number=25 FoodEng FoodIta
-
-

-The number flag gives the number of sentences generated. -

- -

Grammar architecture

- -

Extending a grammar

-

-The module system of GF makes it possible to extend a -grammar in different ways. The syntax of extension is -shown by the following example. We extend Food by -adding a category of questions and two new functions. -

-
-    abstract Morefood = Food ** {
-      cat
-        Question ;
-      fun
-        QIs : Item -> Quality -> Question ;
-        Pizza : Kind ;
-        
-    }
-
-

-Parallel to the abstract syntax, extensions can -be built for concrete syntaxes: -

-
-    concrete MorefoodEng of Morefood = FoodEng ** {
-      lincat
-        Question = {s : Str} ;
-      lin
-        QIs item quality = {s = "is" ++ item.s ++ quality.s} ;
-        Pizza = {s = "pizza"} ;
-    }
-
-

-The effect of extension is that all of the contents of the extended -and extending module are put together. -

- -

Multiple inheritance

-

-Specialized vocabularies can be represented as small grammars that -only do "one thing" each. For instance, the following are grammars -for fruit and mushrooms -

-
-    abstract Fruit = {
-      cat Fruit ;
-      fun Apple, Peach : Fruit ;
-    }
-  
-    abstract Mushroom = {
-      cat Mushroom ;
-      fun Cep, Agaric : Mushroom ;
-    }
-
-

-They can afterwards be combined into bigger grammars by using -multiple inheritance, i.e. extension of several grammars at the -same time: -

-
-    abstract Foodmarket = Food, Fruit, Mushroom ** {
-      fun 
-        FruitKind    : Fruit    -> Kind ;
-        MushroomKind : Mushroom -> Kind ;
-      }
-
-

-At this point, you would perhaps like to go back to -Food and take apart Wine to build a special -Drink module. -

- -

Visualizing module structure

-

-When you have created all the abstract syntaxes and -one set of concrete syntaxes needed for Foodmarket, -your grammar consists of eight GF modules. To see how their -dependences look like, you can use the command -visualize_graph = vg, -

-
-    > visualize_graph
-
-

-and the graph will pop up in a separate window. -

-

-The graph uses -

-
    -
  • oval boxes for abstract modules -
  • square boxes for concrete modules -
  • black-headed arrows for inheritance -
  • white-headed arrows for the concrete-of-abstract relation -
- -

- -

- -

System commands

-

-To document your grammar, you may want to print the -graph into a file, e.g. a .png file that -can be included in an HTML document. You can do this -by first printing the graph into a file .dot and then -processing this file with the dot program. -

-
-    > pm -printer=graph | wf Foodmarket.dot
-    > ! dot -Tpng Foodmarket.dot > Foodmarket.png
-
-

-The latter command is a Unix command, issued from GF by using the -shell escape symbol !. The resulting graph was shown in the previous section. -

-

-The command print_multi = pm is used for printing the current multilingual -grammar in various formats, of which the format -printer=graph just -shows the module dependencies. Use help to see what other formats -are available: -

-
-    > help pm
-    > help -printer
-
-

- -

Resource modules

- -

The golden rule of functional programming

-

-In comparison to the .cf format, the .gf format looks rather -verbose, and demands lots more characters to be written. You have probably -done this by the copy-paste-modify method, which is a common way to -avoid repeating work. -

-

-However, there is a more elegant way to avoid repeating work than the copy-and-paste -method. The golden rule of functional programming says that -

-
    -
  • whenever you find yourself programming by copy-and-paste, write a function instead. -
- -

-A function separates the shared parts of different computations from the -changing parts, parameters. In functional programming languages, such as -Haskell, it is possible to share much more than in -languages such as C and Java. -

- -

Operation definitions

-

-GF is a functional programming language, not only in the sense that -the abstract syntax is a system of functions (fun), but also because -functional programming can be used to define concrete syntax. This is -done by using a new form of judgement, with the keyword oper (for -operation), distinct from fun for the sake of clarity. -Here is a simple example of an operation: -

-
-    oper ss : Str -> {s : Str} = \x -> {s = x} ;
-
-

-The operation can be applied to an argument, and GF will -compute the application into a value. For instance, -

-
-    ss "boy"  --->  {s = "boy"}
-
-

-(We use the symbol ---> to indicate how an expression is -computed into a value; this symbol is not a part of GF) -

-

-Thus an oper judgement includes the name of the defined operation, -its type, and an expression defining it. As for the syntax of the defining -expression, notice the lambda abstraction form \x -> t of -the function. -

- -

The ``resource`` module type

-

-Operator definitions can be included in a concrete syntax. -But they are not really tied to a particular set of linearization rules. -They should rather be seen as resources -usable in many concrete syntaxes. -

-

-The resource module type can be used to package -oper definitions into reusable resources. Here is -an example, with a handful of operations to manipulate -strings and records. -

-
-    resource StringOper = {
-      oper
-        SS : Type = {s : Str} ;
-        ss : Str -> SS = \x -> {s = x} ;
-        cc : SS -> SS -> SS = \x,y -> ss (x.s ++ y.s) ;
-        prefix : Str -> SS -> SS = \p,x -> ss (p ++ x.s) ;
-    }
-
-

-Resource modules can extend other resource modules, in the -same way as modules of other types can extend modules of the -same type. Thus it is possible to build resource hierarchies. -

- -

Opening a ``resource``

-

-Any number of resource modules can be -opened in a concrete syntax, which -makes definitions contained -in the resource usable in the concrete syntax. Here is -an example, where the resource StringOper is -opened in a new version of FoodEng. -

-
-    concrete Food2Eng of Food = open StringOper in {
-  
-    lincat
-      S, Item, Kind, Quality = SS ;
-  
-    lin
-      Is item quality = cc item (prefix "is" quality) ;
-      This = prefix "this" ;
-      That = prefix "that" ;
-      QKind = cc ;
-      Wine = ss "wine" ;
-      Cheese = ss "cheese" ;
-      Fish = ss "fish" ;
-      Very = prefix "very" ;
-      Fresh = ss "fresh" ;
-      Warm = ss "warm" ;
-      Italian = ss "Italian" ;
-      Expensive = ss "expensive" ;
-      Delicious = ss "delicious" ;
-      Boring = ss "boring" ;
-  
-    }
-
-

-The same string operations could be used to write FoodIta -more concisely. -

- -

Division of labour

-

-Using operations defined in resource modules is a -way to avoid repetitive code. -In addition, it enables a new kind of modularity -and division of labour in grammar writing: grammarians familiar with -the linguistic details of a language can make this knowledge -available through resource grammar modules, whose users only need -to pick the right operations and not to know their implementation -details. -

- -

Morphology

-

-Suppose we want to say, with the vocabulary included in -Food.gf, things like -

-
-    all Italian wines are delicious
-
-

-The new grammatical facility we need are the plural forms -of nouns and verbs (wines, are), as opposed to their -singular forms. -

-

-The introduction of plural forms requires two things: -

-
    -
  • the inflection of nouns and verbs in singular and plural -
  • the agreement of the verb to subject: - the verb must have the same number as the subject -
- -

-Different languages have different rules of inflection and agreement. -For instance, Italian has also agreement in gender (masculine vs. feminine). -We want to express such special features of languages in the -concrete syntax while ignoring them in the abstract syntax. -

-

-To be able to do all this, we need one new judgement form -and many new expression forms. -We also need to generalize linearization types -from strings to more complex types. -

- -

Parameters and tables

-

-We define the parameter type of number in Englisn by -using a new form of judgement: -

-
-    param Number = Sg | Pl ;
-
-

-To express that Kind expressions in English have a linearization -depending on number, we replace the linearization type {s : Str} -with a type where the s field is a table depending on number: -

-
-    lincat Kind = {s : Number => Str} ;
-
-

-The table type Number => Str is in many respects similar to -a function type (Number -> Str). The main difference is that the -argument type of a table type must always be a parameter type. This means -that the argument-value pairs can be listed in a finite table. The following -example shows such a table: -

-
-    lin Cheese = {s = table {
-      Sg => "cheese" ;
-      Pl => "cheeses"
-      }
-    } ;
-
-

-The table consists of branches, where a pattern on the -left of the arrow => is assigned a value on the right. -

-

-The application of a table to a parameter is done by the selection -operator !. For instance, -

-
-     table {Sg => "cheese" ; Pl => "cheeses"} ! Pl
-
-

-is a selection that computes into the value "cheeses". -This computation is performed by pattern matching: return -the value from the first branch whose pattern matches the -selection argument. -

- -

Inflection tables, paradigms, and ``oper`` definitions

-

-All English common nouns are inflected in number, most of them in the -same way: the plural form is obtained from the singular by adding the -ending s. This rule is an example of -a paradigm - a formula telling how the inflection -forms of a word are formed. -

-

-From the GF point of view, a paradigm is a function that takes a lemma - -also known as a dictionary form - and returns an inflection -table of desired type. Paradigms are not functions in the sense of the -fun judgements of abstract syntax (which operate on trees and not -on strings), but operations defined in oper judgements. -The following operation defines the regular noun paradigm of English: -

-
-    oper regNoun : Str -> {s : Number => Str} = \x -> {
-      s = table {
-        Sg => x ;
-        Pl => x + "s"
-        }
-      } ;
-
-

-The gluing operator + tells that -the string held in the variable x and the ending "s" -are written together to form one token. Thus, for instance, -

-
-    (regNoun "cheese").s ! Pl  ---> "cheese" + "s"  --->  "cheeses"
-
-

- -

Worst-case functions and data abstraction

-

-Some English nouns, such as mouse, are so irregular that -it makes no sense to see them as instances of a paradigm. Even -then, it is useful to perform data abstraction from the -definition of the type Noun, and introduce a constructor -operation, a worst-case function for nouns: -

-
-    oper mkNoun : Str -> Str -> Noun = \x,y -> {
-      s = table {
-        Sg => x ;
-        Pl => y
-        }
-      } ;
-
-

-Thus we could define -

-
-    lin Mouse = mkNoun "mouse" "mice" ;
-
-

-and -

-
-    oper regNoun : Str -> Noun = \x -> 
-      mkNoun x (x + "s") ;
-
-

-instead of writing the inflection table explicitly. -

-

-The grammar engineering advantage of worst-case functions is that -the author of the resource module may change the definitions of -Noun and mkNoun, and still retain the -interface (i.e. the system of type signatures) that makes it -correct to use these functions in concrete modules. In programming -terms, Noun is then treated as an abstract datatype. -

- -

A system of paradigms using Prelude operations

-

-In addition to the completely regular noun paradigm regNoun, -some other frequent noun paradigms deserve to be -defined, for instance, -

-
-    sNoun : Str -> Noun = \kiss  -> mkNoun kiss  (kiss  + "es") ;
-
-

-What about nouns like fly, with the plural flies? The already -available solution is to use the longest common prefix -fl (also known as the technical stem) as argument, and define -

-
-    yNoun : Str -> Noun = \fl -> mkNoun (fl  + "y") (fl  + "ies") ;
-
-

-But this paradigm would be very unintuitive to use, because the technical stem -is not an existing form of the word. A better solution is to use -the lemma and a string operator init, which returns the initial segment (i.e. -all characters but the last) of a string: -

-
-    yNoun : Str -> Noun = \fly -> mkNoun fly (init fly  + "ies") ;  
-
-

-The operation init belongs to a set of operations in the -resource module Prelude, which therefore has to be -opened so that init can be used. -

- -

An intelligent noun paradigm using ``case`` expressions

-

-It may be hard for the user of a resource morphology to pick the right -inflection paradigm. A way to help this is to define a more intelligent -paradigm, which chooses the ending by first analysing the lemma. -The following variant for English regular nouns puts together all the -previously shown paradigms, and chooses one of them on the basis of -the final letter of the lemma (found by the prelude operator last). -

-
-    regNoun : Str -> Noun = \s -> case last s of {
-      "s" | "z" => mkNoun s (s + "es") ;
-      "y"       => mkNoun s (init s + "ies") ;
-      _         => mkNoun s (s + "s")
-      } ;
-
-

-This definition displays many GF expression forms not shown befores; -these forms are explained in the next section. -

-

-The paradigms regNoun does not give the correct forms for -all nouns. For instance, mouse - mice and -fish - fish must be given by using mkNoun. -Also the word boy would be inflected incorrectly; to prevent -this, either use mkNoun or modify -regNoun so that the "y" case does not -apply if the second-last character is a vowel. -

- -

Pattern matching

-

-We have so far built all expressions of the table form -from branches whose patterns are constants introduced in -param definitions, as well as constant strings. -But there are more expressive patterns. Here is a summary of the possible forms: -

-
    -
  • a variable pattern (identifier other than constant parameter) matches anything -
  • the wild card _ matches anything -
  • a string literal pattern, e.g. "s", matches the same string -
  • a disjunctive pattern P | ... | Q matches anything that - one of the disjuncts matches -
- -

-Pattern matching is performed in the order in which the branches -appear in the table: the branch of the first matching pattern is followed. -

-

-As syntactic sugar, one-branch tables can be written concisely, -

-
-    \\P,...,Q => t  ===  table {P => ... table {Q => t} ...}
-
-

-Finally, the case expressions common in functional -programming languages are syntactic sugar for table selections: -

-
-    case e of {...} ===  table {...} ! e
-
-

- -

Morphological resource modules

-

-A common idiom is to -gather the oper and param definitions -needed for inflecting words in -a language into a morphology module. Here is a simple -example, MorphoEng. -

-
-    --# -path=.:prelude
-  
-    resource MorphoEng = open Prelude in {
-  
-      param
-        Number = Sg | Pl ;
-  
-      oper
-        Noun, Verb : Type = {s : Number => Str} ;
-  
-        mkNoun : Str -> Str -> Noun = \x,y -> {
-          s = table {
-            Sg => x ;
-            Pl => y
-            }
-          } ;
-  
-        regNoun : Str -> Noun = \s -> case last s of {
-          "s" | "z" => mkNoun s (s + "es") ;
-          "y"       => mkNoun s (init s + "ies") ;
-          _         => mkNoun s (s + "s")
-          } ;
-  
-        mkVerb : Str -> Str -> Verb = \x,y -> mkNoun y x ;
-  
-        regVerb : Str -> Verb = \s -> case last s of {
-          "s" | "z" => mkVerb s (s + "es") ;
-          "y"       => mkVerb s (init s + "ies") ;
-          "o"       => mkVerb s (s + "es") ;
-          _         => mkVerb s (s + "s")
-          } ;
-    }
-
-

-The first line gives as a hint to the compiler the -search path needed to find all the other modules that the -module depends on. The directory prelude is a subdirectory of -GF/lib; to be able to refer to it in this simple way, you can -set the environment variable GF_LIB_PATH to point to this -directory. -

- -

Testing resource modules

-

-To test a resource module independently, you must import it -with the flag -retain, which tells GF to retain oper definitions -in the memory; the usual behaviour is that oper definitions -are just applied to compile linearization rules -(this is called inlining) and then thrown away. -

-
-    > i -retain MorphoEng.gf
-
-

-The command compute_concrete = cc computes any expression -formed by operations and other GF constructs. For example, -

-
-    > cc regVerb "echo"
-    {s : Number => Str = table Number {
-      Sg => "echoes" ;
-      Pl => "echo"
-      }
-    }
-
-

-

-The command show_operations = so` shows the type signatures -of all operations returning a given value type: -

-
-    > so Verb
-    MorphoEng.mkNoun : Str -> Str -> {s : {MorphoEng.Number} => Str}
-    MorphoEng.mkVerb : Str -> Str -> {s : {MorphoEng.Number} => Str}
-    MorphoEng.regNoun : Str -> {s : {MorphoEng.Number} => Str}
-    MorphoEng.regVerb : Str -> { s : {MorphoEng.Number} => Str}
-
-

-Why does the command also show the operations that form -Nouns? The reason is that the type expression -Verb is first computed, and its value happens to be -the same as the value of Noun. -

- -

Using parameters in concrete syntax

-

-We can now enrich the concrete syntax definitions to -comprise morphology. This will involve a more radical -variation between languages (e.g. English and Italian) -then just the use of different words. In general, -parameters and linearization types are different in -different languages - but this does not prevent the -use of a common abstract syntax. -

- -

Parametric vs. inherent features, agreement

-

-The rule of subject-verb agreement in English says that the verb -phrase must be inflected in the number of the subject. This -means that a noun phrase (functioning as a subject), inherently -has a number, which it passes to the verb. The verb does not -have a number, but must be able to receive whatever number the -subject has. This distinction is nicely represented by the -different linearization types of noun phrases and verb phrases: -

-
-    lincat NP = {s : Str ; n : Number} ;
-    lincat VP = {s : Number => Str} ;
-
-

-We say that the number of NP is an inherent feature, -whereas the number of NP is a variable feature (or a -parametric feature). -

-

-The agreement rule itself is expressed in the linearization rule of -the predication function: -

-
-    lin PredVP np vp = {s = np.s ++ vp.s ! np.n} ;
-
-

-The following section will present -FoodsEng, assuming the abstract syntax Foods -that is similar to Food but also has the -plural determiners These and Those. -The reader is invited to inspect the way in which agreement works in -the formation of sentences. -

- -

English concrete syntax with parameters

-

-The grammar uses both -Prelude and -MorphoEng. -We will later see how to make the grammar even -more high-level by using a resource grammar library -and parametrized modules. -

-
-  --# -path=.:resource:prelude
-  
-  concrete FoodsEng of Foods = open Prelude, MorphoEng in {
-  
-    lincat
-      S, Quality = SS ; 
-      Kind = {s : Number => Str} ; 
-      Item = {s : Str ; n : Number} ; 
-  
-    lin
-      Is item quality = ss (item.s ++ (mkVerb "are" "is").s ! item.n ++ quality.s) ;
-      This  = det Sg "this" ;
-      That  = det Sg "that" ;
-      These = det Pl "these" ;
-      Those = det Pl "those" ;
-      QKind quality kind = {s = \\n => quality.s ++ kind.s ! n} ;
-      Wine = regNoun "wine" ;
-      Cheese = regNoun "cheese" ;
-      Fish = mkNoun "fish" "fish" ;
-      Very = prefixSS "very" ;
-      Fresh = ss "fresh" ;
-      Warm = ss "warm" ;
-      Italian = ss "Italian" ;
-      Expensive = ss "expensive" ;
-      Delicious = ss "delicious" ;
-      Boring = ss "boring" ;
-  
-    oper
-      det : Number -> Str -> Noun -> {s : Str ; n : Number} = \n,d,cn -> {
-        s = d ++ cn.s ! n ;
-        n = n
-        } ;
-  
-  }
-
-

- -

Hierarchic parameter types

-

-The reader familiar with a functional programming language such as -Haskell must have noticed the similarity -between parameter types in GF and algebraic datatypes (data definitions -in Haskell). The GF parameter types are actually a special case of algebraic -datatypes: the main restriction is that in GF, these types must be finite. -(It is this restriction that makes it possible to invert linearization rules into -parsing methods.) -

-

-However, finite is not the same thing as enumerated. Even in GF, parameter -constructors can take arguments, provided these arguments are from other -parameter types - only recursion is forbidden. Such parameter types impose a -hierarchic order among parameters. They are often needed to define -the linguistically most accurate parameter systems. -

-

-To give an example, Swedish adjectives -are inflected in number (singular or plural) and -gender (uter or neuter). These parameters would suggest 2*2=4 different -forms. However, the gender distinction is done only in the singular. Therefore, -it would be inaccurate to define adjective paradigms using the type -Gender => Number => Str. The following hierarchic definition -yields an accurate system of three adjectival forms. -

-
-    param AdjForm = ASg Gender | APl ;
-    param Gender  = Utr | Neutr ;
-
-

-Here is an example of pattern matching, the paradigm of regular adjectives. -

-
-    oper regAdj : Str -> AdjForm => Str = \fin -> table {
-      ASg Utr   => fin ;
-      ASg Neutr => fin + "t" ;
-      APl       => fin + "a" ;
-      }
-
-

-A constructor can be used as a pattern that has patterns as arguments. For instance, -the adjectival paradigm in which the two singular forms are the same, -can be defined -

-
-    oper plattAdj : Str -> AdjForm => Str = \platt -> table {
-      ASg _ => platt ;
-      APl   => platt + "a" ;
-      }
-
-

- -

Morphological analysis and morphology quiz

-

-Even though morphology is in GF -mostly used as an auxiliary for syntax, it -can also be useful on its own right. The command morpho_analyse = ma -can be used to read a text and return for each word the analyses that -it has in the current concrete syntax. -

-
-    > rf bible.txt | morpho_analyse
-
-

-In the same way as translation exercises, morphological exercises can -be generated, by the command morpho_quiz = mq. Usually, -the category is set to be something else than S. For instance, -

-
-    > i lib/resource/french/VerbsFre.gf
-    > morpho_quiz -cat=V
-  
-    Welcome to GF Morphology Quiz.
-    ...
-  
-    réapparaître : VFin VCondit  Pl  P2
-    réapparaitriez
-    > No, not réapparaitriez, but
-    réapparaîtriez
-    Score 0/1
-
-

-Finally, a list of morphological exercises can be generated -off-line and saved in a -file for later use, by the command morpho_list = ml -

-
-    > morpho_list -number=25 -cat=V | wf exx.txt
-
-

-The number flag gives the number of exercises generated. -

- -

Discontinuous constituents

-

-A linearization type may contain more strings than one. -An example of where this is useful are English particle -verbs, such as switch off. The linearization of -a sentence may place the object between the verb and the particle: -he switched it off. -

-

-The following judgement defines transitive verbs as -discontinuous constituents, i.e. as having a linearization -type with two strings and not just one. -

-
-    lincat TV = {s : Number => Str ; part : Str} ;
-
-

-This linearization rule -shows how the constituents are separated by the object in complementization. -

-
-    lin PredTV tv obj = {s = \\n => tv.s ! n ++ obj.s ++ tv.part} ;
-
-

-There is no restriction in the number of discontinuous constituents -(or other fields) a lincat may contain. The only condition is that -the fields must be of finite types, i.e. built from records, tables, -parameters, and Str, and not functions. -

-

-A mathematical result -about parsing in GF says that the worst-case complexity of parsing -increases with the number of discontinuous constituents. This is -potentially a reason to avoid discontinuous constituents. -Moreover, the parsing and linearization commands only give accurate -results for categories whose linearization type has a unique Str -valued field labelled s. Therefore, discontinuous constituents -are not a good idea in top-level categories accessed by the users -of a grammar application. -

- -

Free variation

-

-Sometimes there are many alternative ways to define a concrete syntax. -For instance, the verb negation in English can be expressed both by -does not and doesn't. In linguistic terms, these expressions -are in free variation. The variants construct of GF can -be used to give a list of strings in free variation. For example, -

-
-    NegVerb verb = {s = variants {["does not"] ; "doesn't} ++ verb.s ! Pl} ;
-
-

-An empty variant list -

-
-    variants {}
-
-

-can be used e.g. if a word lacks a certain form. -

-

-In general, variants should be used cautiously. It is not -recommended for modules aimed to be libraries, because the -user of the library has no way to choose among the variants. -

- -

Overloading of operations

-

-Large libraries, such as the GF Resource Grammar Library, may define -hundreds of names, which can be unpractical -for both the library writer and the user. The writer has to invent longer -and longer names which are not always intuitive, -and the user has to learn or at least be able to find all these names. -A solution to this problem, adopted by languages such as C++, is overloading: -the same name can be used for several functions. When such a name is used, the -compiler performs overload resolution to find out which of the possible functions -is meant. The resolution is based on the types of the functions: all functions that -have the same name must have different types. -

-

-In C++, functions with the same name can be scattered everywhere in the program. -In GF, they must be grouped together in overload groups. Here is an example -of an overload group, defining four ways to define nouns in Italian: -

-
-    oper mkN = overload {
-      mkN : Str -> N                  = -- regular nouns
-      mkN : Str -> Gender -> N        = -- regular nouns with unexpected gender
-      mkN : Str -> Str -> N           = -- irregular nouns
-      mkN : Str -> Str -> Gender -> N = -- irregular nouns with unexpected gender
-    }
-
-

-All of the following uses of mkN are easy to resolve: -

-
-    lin Pizza = mkN "pizza" ;         -- Str -> N
-    lin Hand  = mkN "mano" Fem ;      -- Str -> Gender -> N
-    lin Man   = mkN "uomo" "uomini" ; -- Str -> Str -> N
-
-

- -

Using the resource grammar library TODO

-

-A resource grammar is a grammar built on linguistic grounds, -to describe a language rather than a domain. -The GF resource grammar library, which contains resource grammars for -10 languages, is described more closely in the following -documents: -

- - - -

Interfaces, instances, and functors

- -

The simplest way

-

-The simplest way is to open a top-level Lang module -and a Paradigms module: -

-
-    abstract Foo = ...
-  
-    concrete FooEng = open LangEng, ParadigmsEng in ...
-    concrete FooSwe = open LangSwe, ParadigmsSwe in ...
-
-

-Here is an example. -

-
-  abstract Arithm = {
-    cat
-      Prop ;
-      Nat ;
-    fun
-      Zero : Nat ;
-      Succ : Nat -> Nat ;
-      Even : Nat -> Prop ;
-      And  : Prop -> Prop -> Prop ;
-  }
-  
-  --# -path=.:alltenses:prelude
-  
-  concrete ArithmEng of Arithm = open LangEng, ParadigmsEng in {
-    lincat
-      Prop = S ;
-      Nat  = NP ;
-    lin
-      Zero = 
-        UsePN (regPN "zero" nonhuman) ;
-      Succ n = 
-        DetCN (DetSg (SgQuant DefArt) NoOrd) (ComplN2 (regN2 "successor") n) ;
-      Even n = 
-        UseCl TPres ASimul PPos 
-          (PredVP n (UseComp (CompAP (PositA (regA "even"))))) ;
-      And x y = 
-        ConjS and_Conj (BaseS x y) ;
-  
-  }
-  
-  --# -path=.:alltenses:prelude
-  
-  concrete ArithmSwe of Arithm = open LangSwe, ParadigmsSwe in {
-    lincat
-      Prop = S ;
-      Nat  = NP ;
-    lin
-      Zero = 
-        UsePN (regPN "noll" neutrum) ;
-      Succ n = 
-        DetCN (DetSg (SgQuant DefArt) NoOrd) 
-          (ComplN2 (mkN2 (mk2N "efterföljare" "efterföljare") 
-             (mkPreposition "till")) n) ;
-      Even n = 
-        UseCl TPres ASimul PPos 
-          (PredVP n (UseComp (CompAP (PositA (regA "jämn"))))) ;
-      And x y = 
-        ConjS and_Conj (BaseS x y) ;
-  }
-
-

- -

How to find resource functions

-

-The definitions in this example were found by parsing: -

-
-    > i LangEng.gf
-  
-    -- for Successor:
-    > p -cat=NP -mcfg -parser=topdown "the mother of Paris"
-  
-    -- for Even:
-    > p -cat=S -mcfg -parser=topdown "Paris is old"
-  
-    -- for And:
-    > p -cat=S -mcfg -parser=topdown "Paris is old and I am old"
-
-

-The use of parsing can be systematized by example-based grammar writing, -to which we will return later. -

- -

A functor implementation

-

-The interesting thing now is that the -code in ArithmSwe is similar to the code in ArithmEng, except for -some lexical items ("noll" vs. "zero", "efterföljare" vs. "successor", -"jämn" vs. "even"). How can we exploit the similarities and -actually share code between the languages? -

-

-The solution is to use a functor: an incomplete module that opens -an abstract as an interface, and then instantiate it to different -languages that implement the interface. The structure is as follows: -

-
-    abstract Foo ...
-  
-    incomplete concrete FooI = open Lang, Lex in ...
-  
-    concrete FooEng of Foo = FooI with (Lang=LangEng), (Lex=LexEng) ;
-    concrete FooSwe of Foo = FooI with (Lang=LangSwe), (Lex=LexSwe) ;
-
-

-where Lex is an abstract lexicon that includes the vocabulary -specific to this application: -

-
-    abstract Lex = Cat ** ...
-  
-    concrete LexEng of Lex = CatEng ** open ParadigmsEng in ...
-    concrete LexSwe of Lex = CatSwe ** open ParadigmsSwe in ...  
-
-

-Here, again, a complete example (abstract Arithm is as above): -

-
-  incomplete concrete ArithmI of Arithm = open Lang, Lex in {
-    lincat
-      Prop = S ;
-      Nat  = NP ;
-    lin
-      Zero = 
-        UsePN zero_PN ;
-      Succ n = 
-        DetCN (DetSg (SgQuant DefArt) NoOrd) (ComplN2 successor_N2 n) ;
-      Even n = 
-        UseCl TPres ASimul PPos 
-          (PredVP n (UseComp (CompAP (PositA even_A)))) ;
-      And x y = 
-        ConjS and_Conj (BaseS x y) ;
-  }
-  
-  --# -path=.:alltenses:prelude
-  concrete ArithmEng of Arithm = ArithmI with
-    (Lang = LangEng),
-    (Lex = LexEng) ;
-  
-  --# -path=.:alltenses:prelude
-  concrete ArithmSwe of Arithm = ArithmI with
-    (Lang = LangSwe),
-    (Lex = LexSwe) ;
-  
-  abstract Lex = Cat ** {
-    fun
-      zero_PN : PN ;
-      successor_N2 : N2 ;  
-      even_A : A ;
-  }
-  
-  concrete LexSwe of Lex = CatSwe ** open ParadigmsSwe in {
-    lin 
-      zero_PN = regPN "noll" neutrum ;
-      successor_N2 = 
-        mkN2 (mk2N "efterföljare" "efterföljare") (mkPreposition "till") ;
-      even_A = regA "jämn" ;
-  }
-
-

- -

Restricted inheritance and qualified opening

- -

More constructs for concrete syntax

-

-In this chapter, we go through constructs that are not necessary in simple grammars -or when the concrete syntax relies on libraries, but very useful when writing advanced -concrete syntax implementations, such as resource grammar libraries. -

- -

Local definitions

-

-Local definitions ("let expressions") are used in functional -programming for two reasons: to structure the code into smaller -expressions, and to avoid repeated computation of one and -the same expression. Here is an example, from -MorphoIta: -

-
-    oper regNoun : Str -> Noun = \vino -> 
-          let 
-            vin = init vino ;
-            o   = last vino
-          in
-          case o of {
-            "a"       => mkNoun Fem  vino (vin + "e") ;
-            "o" | "e" => mkNoun Masc vino (vin + "i") ;
-            _         => mkNoun Masc vino vino         
-            } ;
-
-

- -

Record extension and subtyping

-

-Record types and records can be extended with new fields. For instance, -in German it is natural to see transitive verbs as verbs with a case. -The symbol ** is used for both constructs. -

-
-    lincat TV = Verb ** {c : Case} ;
-  
-    lin Follow = regVerb "folgen" ** {c = Dative} ; 
-
-

-To extend a record type or a record with a field whose label it -already has is a type error. -

-

-A record type T is a subtype of another one R, if T has -all the fields of R and possibly other fields. For instance, -an extension of a record type is always a subtype of it. -

-

-If T is a subtype of R, an object of T can be used whenever -an object of R is required. For instance, a transitive verb can -be used whenever a verb is required. -

-

-Contravariance means that a function taking an R as argument -can also be applied to any object of a subtype T. -

- -

Tuples and product types

-

-Product types and tuples are syntactic sugar for record types and records: -

-
-    T1 * ... * Tn   ===   {p1 : T1 ; ... ; pn : Tn}
-    <t1, ...,  tn>  ===   {p1 = T1 ; ... ; pn = Tn}
-
-

-Thus the labels p1, p2,... are hard-coded. -

- -

Record and tuple patterns

-

-Record types of parameter types are also parameter types. -A typical example is a record of agreement features, e.g. French -

-
-    oper Agr : PType = {g : Gender ; n : Number ; p : Person} ;
-
-

-Notice the term PType rather than just Type referring to -parameter types. Every PType is also a Type, but not vice-versa. -

-

-Pattern matching is done in the expected way, but it can moreover -utilize partial records: the branch -

-
-    {g = Fem} => t
-
-

-in a table of type Agr => T means the same as -

-
-    {g = Fem ; n = _ ; p = _} => t
-
-

-Tuple patterns are translated to record patterns in the -same way as tuples to records; partial patterns make it -possible to write, slightly surprisingly, -

-
-    case <g,n,p> of {
-      <Fem> => t
-      ...
-      }
-
-

- -

Regular expression patterns

-

-To define string operations computed at compile time, such -as in morphology, it is handy to use regular expression patterns: -

-
    -
  • p + q : token consisting of p followed by q -
  • p * : token p repeated 0 or more times - (max the length of the string to be matched) -
  • - p : matches anything that p does not match -
  • x @ p : bind to x what p matches -
  • p | q : matches what either p or q matches -
- -

-The last three apply to all types of patterns, the first two only to token strings. -As an example, we give a rule for the formation of English word forms -ending with an s and used in the formation of both plural nouns and -third-person present-tense verbs. -

-
-    add_s : Str -> Str = \w -> case w of {
-      _ + "oo"                           => s + "s" ;   -- bamboo
-      _ + ("s" | "z" | "x" | "sh" | "o") => w + "es" ;  -- bus, hero
-      _ + ("a" | "o" | "u" | "e") + "y"  => w + "s" ;   -- boy
-      x + "y"                            => x + "ies" ; -- fly
-      _                                  => w + "s"     -- car
-      } ;
-
-

-Here is another example, the plural formation in Swedish 2nd declension. -The second branch uses a variable binding with @ to cover the cases where an -unstressed pre-final vowel e disappears in the plural -(nyckel-nycklar, seger-segrar, bil-bilar): -

-
-    plural2 : Str -> Str = \w -> case w of {
-      pojk + "e"                       => pojk + "ar" ;
-      nyck + "e" + l@("l" | "r" | "n") => nyck + l + "ar" ;
-      bil                              => bil + "ar"
-      } ;
-
-

-

-Semantics: variables are always bound to the first match, which is the first -in the sequence of binding lists Match p v defined as follows. In the definition, -p is a pattern and v is a value. -

-
-    Match (p1|p2) v = Match p1 v ++ Match p2 v
-    Match (p1+p2) s = [Match p1 s1 ++ Match p2 s2 | 
-                         i <- [0..length s], (s1,s2) = splitAt i s]
-    Match p*      s = [[]] if Match "" s ++ Match p s ++ Match (p+p) s ++... /= []
-    Match -p      v = [[]] if Match p v = []
-    Match c       v = [[]] if c == v  -- for constant and literal patterns c
-    Match x       v = [[(x,v)]]       -- for variable patterns x
-    Match x@p     v = [[(x,v)]] + M   if M = Match p v /= []
-    Match p       v = [] otherwise    -- failure
-
-

-Examples: -

-
    -
  • x + "e" + y matches "peter" with x = "p", y = "ter" -
  • x + "er"* matches "burgerer" with ``x = "burg" -
- - -

Prefix-dependent choices

-

-Sometimes a token has different forms depending on the token -that follows. An example is the English indefinite article, -which is an if a vowel follows, a otherwise. -Which form is chosen can only be decided at run time, i.e. -when a string is actually build. GF has a special construct for -such tokens, the pre construct exemplified in -

-
-    oper artIndef : Str = 
-      pre {"a" ; "an" / strs {"a" ; "e" ; "i" ; "o"}} ;
-
-

-Thus -

-
-    artIndef ++ "cheese"  --->  "a" ++ "cheese"
-    artIndef ++ "apple"   --->  "an" ++ "apple"
-
-

-This very example does not work in all situations: the prefix -u has no general rules, and some problematic words are -euphemism, one-eyed, n-gram. It is possible to write -

-
-    oper artIndef : Str = 
-      pre {"a" ; 
-           "a"  / strs {"eu" ; "one"} ;
-           "an" / strs {"a" ; "e" ; "i" ; "o" ; "n-"}
-          } ;
-
-

- -

Predefined types and operations

-

-GF has the following predefined categories in abstract syntax: -

-
-    cat Int ;     -- integers, e.g. 0, 5, 743145151019
-    cat Float ;   -- floats,   e.g. 0.0, 3.1415926
-    cat String ;  -- strings,  e.g. "", "foo", "123"
-
-

-The objects of each of these categories are literals -as indicated in the comments above. No fun definition -can have a predefined category as its value type, but -they can be used as arguments. For example: -

-
-    fun StreetAddress : Int -> String -> Address ;
-    lin StreetAddress number street = {s = number.s ++ street.s} ;
-  
-    -- e.g. (StreetAddress 10 "Downing Street") : Address
-
-

-FIXME: The linearization type is {s : Str} for all these categories. -

- -

More concepts of abstract syntax

-

-This section is about the use of the type theory part of GF for -including more semantics in grammars. Some of the subsections present -ideas that have not yet been used in real-world applications, and whose -tool support outside the GF program is not complete. -

- -

GF as a logical framework

-

-In this section, we will show how -to encode advanced semantic concepts in an abstract syntax. -We use concepts inherited from type theory. Type theory -is the basis of many systems known as logical frameworks, which are -used for representing mathematical theorems and their proofs on a computer. -In fact, GF has a logical framework as its proper part: -this part is the abstract syntax. -

-

-In a logical framework, the formalization of a mathematical theory -is a set of type and function declarations. The following is an example -of such a theory, represented as an abstract module in GF. -

-
-  abstract Arithm = {
-    cat
-      Prop ;                        -- proposition
-      Nat ;                         -- natural number
-    fun
-      Zero : Nat ;                  -- 0
-      Succ : Nat -> Nat ;           -- successor of x
-      Even : Nat -> Prop ;          -- x is even
-      And  : Prop -> Prop -> Prop ; -- A and B
-      } 
-
-

-A concrete syntax is given below, as an example of using the resource grammar -library. -

- -

Dependent types

-

-Dependent types are a characteristic feature of GF, -inherited from the -constructive type theory of Martin-Löf and -distinguishing GF from most other grammar formalisms and -functional programming languages. -The initial main motivation for developing GF was, indeed, -to have a grammar formalism with dependent types. -As can be inferred from the fact that we introduce them only now, -after having written lots of grammars without them, -dependent types are no longer the only motivation for GF. -But they are still important and interesting. -

-

-Dependent types can be used for stating stronger -conditions of well-formedness than non-dependent types. -A simple example is postal addresses. Ignoring the other details, -let us take a look at addresses consisting of -a street, a city, and a country. -

-
-  abstract Address = {
-    cat 
-      Address ; Country ; City ; Street ;
-  
-    fun
-      mkAddress : Country -> City -> Street -> Address ;
-  
-      UK, France : Country ;
-      Paris, London, Grenoble : City ;
-      OxfordSt, ShaftesburyAve, BdRaspail, RueBlondel, AvAlsaceLorraine : Street ;
-    }
-
-

-The linearization rules are straightforward, -

-
-    lin
-      mkAddress country city street = 
-        ss (street.s ++ "," ++ city.s ++ "," ++ country.s) ;
-      UK = ss ("U.K.") ;
-      France = ss ("France") ;
-      Paris = ss ("Paris") ;
-      London = ss ("London") ;
-      Grenoble = ss ("Grenoble") ;
-      OxfordSt = ss ("Oxford" ++ "Street") ;
-      ShaftesburyAve = ss ("Shaftesbury" ++ "Avenue") ;
-      BdRaspail = ss ("boulevard" ++ "Raspail") ;
-      RueBlondel = ss ("rue" ++ "Blondel") ;
-      AvAlsaceLorraine = ss ("avenue" ++ "Alsace-Lorraine") ;
-
-

-Notice that, in mkAddress, we have -reversed the order of the constituents. The type of mkAddress -in the abstract syntax takes its arguments in a "logical" order, -with increasing precision. (This order is sometimes even used in the -concrete syntax of addresses, e.g. in Russia). -

-

-Both existing and non-existing addresses are recognized by this -grammar. The non-existing ones in the following randomly generated -list have afterwards been marked by *: -

-
-    > gr -cat=Address -number=7 | l
-  
-    * Oxford Street , Paris , France
-    * Shaftesbury Avenue , Grenoble , U.K.
-    boulevard Raspail , Paris , France
-    * rue Blondel , Grenoble , U.K.
-    * Shaftesbury Avenue , Grenoble , France
-    * Oxford Street , London , France
-    * Shaftesbury Avenue , Grenoble , France
-
-

-Dependent types provide a way to guarantee that addresses are -well-formed. What we do is to include contexts in -cat judgements: -

-
-    cat 
-      Address ; 
-      Country ; 
-      City Country ; 
-      Street (x : Country)(City x) ;
-
-

-The first two judgements are as before, but the third one makes -City dependent on Country: there are no longer just cities, -but cities of the U.K. and cities of France. The fourth judgement -makes Street dependent on City; but since -City is itself dependent on Country, we must -include them both in the context, moreover guaranteeing that -the city is one of the given country. Since the context itself -is built by using a dependent type, we have to use variables -to indicate the dependencies. The judgement we used for City -is actually shorthand for -

-
-    cat City (x : Country)
-
-

-which is only possible if the subsequent context does not depend on x. -

-

-The fun judgements of the grammar are modified accordingly: -

-
-    fun
-      mkAddress : (x : Country) -> (y : City x) -> Street x y -> Address ;
-    
-      UK : Country ;
-      France : Country ;
-      Paris : City France ; 
-      London : City UK ; 
-      Grenoble : City France ;
-      OxfordSt : Street UK London ; 
-      ShaftesburyAve : Street UK London ;
-      BdRaspail : Street France Paris ; 
-      RueBlondel : Street France Paris ; 
-      AvAlsaceLorraine : Street France Grenoble ;
-
-

-Since the type of mkAddress now has dependencies among -its argument types, we have to use variables just like we used in -the context of Street above. What we claimed to be the -"logical" order of the arguments is now forced by the type system -of GF: a variable must be declared (=bound) before it can be -referenced (=used). -

-

-The effect of dependent types is that the *-marked addresses above are -no longer well-formed. What the GF parser actually does is that it -initially accepts them (by using a context-free parsing algorithm) -and then rejects them (by type checking). The random generator does not produce -illegal addresses (this could be useful in bulk mailing!). -The linearization algorithm does not care about type dependencies; -actually, since the categories (ignoring their arguments) -are the same in both abstract syntaxes, -we use the same concrete syntax -for both of them. -

-

-Remark. Function types without -variables are actually a shorthand notation: writing -

-
-    fun PredV1 : NP -> V1 -> S
-
-

-is shorthand for -

-
-    fun PredV1 : (x : NP) -> (y : V1) -> S
-
-

-or any other naming of the variables. Actually the use of variables -sometimes shortens the code, since we can write e.g. -

-
-    oper triple : (x,y,z : Str) -> Str = ...
-
-

-If a bound variable is not used, it can here, as elswhere in GF, be replaced by -a wildcard: -

-
-    oper triple : (_,_,_ : Str) -> Str = ...
-
-

- -

Dependent types in concrete syntax

-

-The functional fragment of GF -terms and types comprises function types, applications, lambda -abstracts, constants, and variables. This fragment is similar in -abstract and concrete syntax. In particular, -dependent types are also available in concrete syntax. -We have not made use of them yet, -but we will now look at one example of how they -can be used. -

-

-Those readers who are familiar with functional programming languages -like ML and Haskell, may already have missed polymorphic -functions. For instance, Haskell programmers have access to -the functions -

-
-    const :: a -> b -> a
-    const c _ = c
-  
-    flip :: (a -> b -> c) -> b -> a -> c
-    flip f y x = f x y
-
-

-which can be used for any given types a,b, and c. -

-

-The GF counterpart of polymorphic functions are monomorphic -functions with explicit type variables. Thus the above -definitions can be written -

-
-    oper const :(a,b : Type) -> a -> b -> a =
-      \_,_,c,_ -> c ;
-  
-    oper flip : (a,b,c : Type) -> (a -> b ->c) -> b -> a -> c =
-      \_,_,_,f,x,y -> f y x ;
-
-

-When the operations are used, the type checker requires -them to be equipped with all their arguments; this may be a nuisance -for a Haskell or ML programmer. -

- -

Expressing selectional restrictions

-

-This section introduces a way of using dependent types to -formalize a notion known as selectional restrictions -in linguistics. We first present a mathematical model -of the notion, and then integrate it in a linguistically -motivated syntax. -

-

-In linguistics, a -grammar is usually thought of as being about syntactic well-formedness -in a rather liberal sense: an expression can be well-formed without -being meaningful, in other words, without being -semantically well-formed. -For instance, the sentence -

-
-    the number 2 is equilateral
-
-

-is syntactically well-formed but semantically ill-formed. -It is well-formed because it combines a well-formed -noun phrase ("the number 2") with a well-formed -verb phrase ("is equilateral") and satisfies the agreement -rule saying that the verb phrase is inflected in the -number of the noun phrase: -

-
-    fun PredVP : NP -> VP -> S ;
-    lin PredVP np v = {s = np.s ++ vp.s ! np.n} ;
-
-

-It is ill-formed because the predicate "is equilateral" -is only defined for triangles, not for numbers. -

-

-In a straightforward type-theoretical formalization of -mathematics, domains of mathematical objects -are defined as types. In GF, we could write -

-
-    cat Nat ;
-    cat Triangle ;
-    cat Prop ;
-
-

-for the types of natural numbers, triangles, and propositions, -respectively. -Noun phrases are typed as objects of basic types other than -Prop, whereas verb phrases are functions from basic types -to Prop. For instance, -

-
-    fun two : Nat ;
-    fun Even : Nat -> Prop ;
-    fun Equilateral : Triangle -> Prop ;
-
-

-With these judgements, and the linearization rules -

-
-    lin two = ss ["the number 2"] ;
-    lin Even x = ss (x.s ++ ["is even"]) ;
-    lin Equilateral x = ss (x.s ++ ["is equilateral"]) ;
-
-

-we can form the proposition Even two -

-
-    the number 2 is even
-
-

-but no proposition linearized to -

-
-    the number 2 is equilateral
-
-

-since Equilateral two is not a well-formed type-theoretical object. -It is not even accepted by the context-free parser. -

-

-When formalizing mathematics, e.g. in the purpose of -computer-assisted theorem proving, we are certainly interested -in semantic well-formedness: we want to be sure that a proposition makes -sense before we make the effort of proving it. The straightforward typing -of nouns and predicates shown above is the way in which this -is guaranteed in various proof systems based on type theory. -(Notice that it is still possible to form false propositions, -e.g. "the number 3 is even". -False and meaningless are different things.) -

-

-As shown by the linearization rules for two, Even, -etc, it is possible to use straightforward mathematical typings -as the abstract syntax of a grammar. However, this syntax is not very -expressive linguistically: for instance, there is no distinction between -adjectives and verbs. It is hard to give rules for structures like -adjectival modification ("even number") and conjunction of predicates -("even or odd"). -

-

-By using dependent types, it is simple to combine a linguistically -motivated system of categories with mathematically motivated -type restrictions. What we need is a category of domains of -individual objects, -

-
-    cat Dom
-
-

-and dependencies of other categories on this: -

-
-    cat 
-      S ;            -- sentence
-      V1 Dom ;       -- one-place verb with specific subject type
-      V2 Dom Dom ;   -- two-place verb with specific subject and object types
-      A1 Dom ;       -- one-place adjective
-      A2 Dom Dom ;   -- two-place adjective
-      NP Dom ;       -- noun phrase for an object of specific type
-      Conj ;         -- conjunction
-      Det ;          -- determiner
-
-

-Having thus parametrized categories on domains, we have to reformulate -the rules of predication, etc, accordingly. This is straightforward: -

-
-    fun
-      PredV1  : (A   : Dom) -> NP A -> V1 A -> S ;
-      ComplV2 : (A,B : Dom) -> V2 A B -> NP B -> V1 A ;
-      DetCN   :                Det -> (A : Dom) -> NP A ;
-      ModA1   :                (A : Dom) -> A1 A -> Dom ;
-      ConjS   :                Conj -> S -> S -> S ;
-      ConjV1  : (A   : Dom) -> Conj -> V1 A -> V1 A -> V1 A ;
-
-

-In linearization rules, -we use wildcards for the domain arguments, -because they don't affect linearization: -

-
-    lin
-      PredV1 _ np vp = ss (np.s ++ vp.s) ;
-      ComplV2 _ _ v2 np = ss (v2.s ++ np.s) ;
-      DetCN det cn = ss (det.s ++ cn.s) ;
-      ModA1 cn a1 = ss (a1.s ++ cn.s) ;
-      ConjS conj s1 s2 = ss (s1.s ++ conj.s ++ s2.s) ;
-      ConjV1 _ conj v1 v2 = ss (v1.s ++ conj.s ++ v2.s) ;
-
-

-The domain arguments thus get suppressed in linearization. -Parsing initially returns metavariables for them, -but type checking can usually restore them -by inference from those arguments that are not suppressed. -

-

-One traditional linguistic example of domain restrictions -(= selectional restrictions) is the contrast between the two sentences -

-
-    John plays golf
-    golf plays John
-
-

-To explain the contrast, we introduce the functions -

-
-    human : Dom ; 
-    game : Dom ;
-    play : V2 human game ;
-    John : NP human ;
-    Golf : NP game ;
-
-

-Both sentences still pass the context-free parser, -returning trees with lots of metavariables of type Dom: -

-
-    PredV1 ?0 John (ComplV2 ?1 ?2 play Golf)
-    PredV1 ?0 Golf (ComplV2 ?1 ?2 play John)
-
-

-But only the former sentence passes the type checker, which moreover -infers the domain arguments: -

-
-    PredV1 human John (ComplV2 human game play Golf)
-
-

-To try this out in GF, use pt = put_term with the tree transformation -that solves the metavariables by type checking: -

-
-    > p -tr "John plays golf" | pt -transform=solve
-    > p -tr "golf plays John" | pt -transform=solve
-
-

-In the latter case, no solutions are found. -

-

-A known problem with selectional restrictions is that they can be more -or less liberal. For instance, -

-
-    John loves Mary
-    John loves golf
-
-

-should both make sense, even though Mary and golf -are of different types. A natural solution in this case is to -formalize love as a polymorphic verb, which takes -a human as its first argument but an object of any type as its second -argument: -

-
-    fun love : (A : Dom) -> V2 human A ;
-    lin love _ = ss "loves" ;
-
-

-In other words, it is possible for a human to love anything. -

-

-A problem related to polymorphism is subtyping: what -is meaningful for a human is also meaningful for -a man and a woman, but not the other way round. -One solution to this is coercions: functions that -"lift" objects from subtypes to supertypes. -

- -

Case study: selectional restrictions and statistical language models TODO

- -

Proof objects

-

-Perhaps the most well-known idea in constructive type theory is -the Curry-Howard isomorphism, also known as the -propositions as types principle. Its earliest formulations -were attempts to give semantics to the logical systems of -propositional and predicate calculus. In this section, we will consider -a more elementary example, showing how the notion of proof is useful -outside mathematics, as well. -

-

-We first define the category of unary (also known as Peano-style) -natural numbers: -

-
-    cat Nat ; 
-    fun Zero : Nat ;
-    fun Succ : Nat -> Nat ;
-
-

-The successor function Succ generates an infinite -sequence of natural numbers, beginning from Zero. -

-

-We then define what it means for a number x to be less than -a number y. Our definition is based on two axioms: -

-
    -
  • Zero is less than Succ y for any y. -
  • If x is less than y, thenSucc x is less than Succ y. -
- -

-The most straightforward way of expressing these axioms in type theory -is as typing judgements that introduce objects of a type Less //x y //: -

-
-    cat Less Nat Nat ; 
-    fun lessZ : (y : Nat) -> Less Zero (Succ y) ;
-    fun lessS : (x,y : Nat) -> Less x y -> Less (Succ x) (Succ y) ;
-
-

-Objects formed by lessZ and lessS are -called proof objects: they establish the truth of certain -mathematical propositions. -For instance, the fact that 2 is less that -4 has the proof object -

-
-    lessS (Succ Zero) (Succ (Succ (Succ Zero)))
-          (lessS Zero (Succ (Succ Zero)) (lessZ (Succ Zero)))
-
-

-whose type is -

-
-    Less (Succ (Succ Zero)) (Succ (Succ (Succ (Succ Zero))))
-
-

-which is the formalization of the proposition that 2 is less than 4. -

-

-GF grammars can be used to provide a semantic control of -well-formedness of expressions. We have already seen examples of this: -the grammar of well-formed addresses and the grammar with -selectional restrictions above. By introducing proof objects -we have now added a very powerful technique of expressing semantic conditions. -

-

-A simple example of the use of proof objects is the definition of -well-formed time spans: a time span is expected to be from an earlier to -a later time: -

-
-    from 3 to 8
-
-

-is thus well-formed, whereas -

-
-    from 8 to 3
-
-

-is not. The following rules for spans impose this condition -by using the Less predicate: -

-
-    cat Span ;
-    fun span : (m,n : Nat) -> Less m n -> Span ;
-
-

-A possible practical application of this idea is proof-carrying documents: -to be semantically well-formed, the abstract syntax of a document must contain a proof -of some property, although the proof is not shown in the concrete document. -Think, for instance, of small documents describing flight connections: -

-

-To fly from Gothenburg to Prague, first take LH3043 to Frankfurt, then OK0537 to Prague. -

-

-The well-formedness of this text is partly expressible by dependent typing: -

-
-    cat
-      City ;
-      Flight City City ;
-    fun
-      Gothenburg, Frankfurt, Prague : City ;
-      LH3043 : Flight Gothenburg Frankfurt ;
-      OK0537 : Flight Frankfurt Prague ;
-
-

-This rules out texts saying take OK0537 from Gothenburg to Prague. However, there is a -further condition saying that it must be possible to change from LH3043 to OK0537 in Frankfurt. -This can be modelled as a proof object of a suitable type, which is required by the constructor -that connects flights. -

-
-    cat
-      IsPossible (x,y,z : City)(Flight x y)(Flight y z) ;
-    fun
-      Connect : (x,y,z : City) -> 
-        (u : Flight x y) -> (v : Flight y z) -> 
-          IsPossible x y z u v -> Flight x z ;
-
-

- -

Variable bindings

-

-Mathematical notation and programming languages have lots of -expressions that bind variables. For instance, -a universally quantifier proposition -

-
-    (All x)B(x)
-
-

-consists of the binding (All x) of the variable x, -and the body B(x), where the variable x can have -bound occurrences. -

-

-Variable bindings appear in informal mathematical language as well, for -instance, -

-
-    for all x, x is equal to x
-  
-    the function that for any numbers x and y returns the maximum of x+y
-    and x*y
-
-

-In type theory, variable-binding expression forms can be formalized -as functions that take functions as arguments. The universal -quantifier is defined -

-
-    fun All : (Ind -> Prop) -> Prop
-
-

-where Ind is the type of individuals and Prop, -the type of propositions. If we have, for instance, the equality predicate -

-
-    fun Eq : Ind -> Ind -> Prop
-
-

-we may form the tree -

-
-    All (\x -> Eq x x)
-
-

-which corresponds to the ordinary notation -

-
-    (All x)(x = x).
-
-

-

-An abstract syntax where trees have functions as arguments, as in -the two examples above, has turned out to be precisely the right -thing for the semantics and computer implementation of -variable-binding expressions. The advantage lies in the fact that -only one variable-binding expression form is needed, the lambda abstract -\x -> b, and all other bindings can be reduced to it. -This makes it easier to implement mathematical theories and reason -about them, since variable binding is tricky to implement and -to reason about. The idea of using functions as arguments of -syntactic constructors is known as higher-order abstract syntax. -

-

-The question now arises: how to define linearization rules -for variable-binding expressions? -Let us first consider universal quantification, -

-
-    fun All : (Ind -> Prop) -> Prop
-
-

-We write -

-
-    lin All B = {s = "(" ++ "All" ++ B.$0 ++ ")" ++ B.s}
-
-

-to obtain the form shown above. -This linearization rule brings in a new GF concept - the $0 -field of B containing a bound variable symbol. -The general rule is that, if an argument type of a function is -itself a function type A -> C, the linearization type of -this argument is the linearization type of C -together with a new field $0 : Str. In the linearization rule -for All, the argument B thus has the linearization -type -

-
-    {$0 : Str ; s : Str},
-
-

-since the linearization type of Prop is -

-
-    {s : Str}
-
-

-In other words, the linearization of a function -consists of a linearization of the body together with a -field for a linearization of the bound variable. -Those familiar with type theory or lambda calculus -should notice that GF requires trees to be in -eta-expanded form in order to be linearizable: -any function of type -

-
-    A -> B
-
-

-always has a syntax tree of the form -

-
-    \x -> b
-
-

-where b : B under the assumption x : A. -It is in this form that an expression can be analysed -as having a bound variable and a body. -

-

-Given the linearization rule -

-
-    lin Eq a b = {s = "(" ++ a.s ++ "=" ++ b.s ++ ")"}
-
-

-the linearization of -

-
-    \x -> Eq x x
-
-

-is the record -

-
-    {$0 = "x", s = ["( x = x )"]}
-
-

-Thus we can compute the linearization of the formula, -

-
-    All (\x -> Eq x x)  --> {s = "[( All x ) ( x = x )]"}.
-
-

-

-How did we get the linearization of the variable x -into the string "x"? GF grammars have no rules for -this: it is just hard-wired in GF that variable symbols are -linearized into the same strings that represent them in -the print-out of the abstract syntax. -

-

-To be able to parse variable symbols, however, GF needs to know what -to look for (instead of e.g. trying to parse any -string as a variable). What strings are parsed as variable symbols -is defined in the lexical analysis part of GF parsing -

-
-    > p -cat=Prop -lexer=codevars "(All x)(x = x)"
-    All (\x -> Eq x x)
-
-

-(see more details on lexers below). If several variables are bound in the -same argument, the labels are $0, $1, $2, etc. -

- -

Semantic definitions

-

-We have seen that, -just like functional programming languages, GF has declarations -of functions, telling what the type of a function is. -But we have not yet shown how to compute -these functions: all we can do is provide them with arguments -and linearize the resulting terms. -Since our main interest is the well-formedness of expressions, -this has not yet bothered -us very much. As we will see, however, computation does play a role -even in the well-formedness of expressions when dependent types are -present. -

-

-GF has a form of judgement for semantic definitions, -recognized by the key word def. At its simplest, it is just -the definition of one constant, e.g. -

-
-    def one = Succ Zero ;
-
-

-We can also define a function with arguments, -

-
-    def Neg A = Impl A Abs ;
-
-

-which is still a special case of the most general notion of -definition, that of a group of pattern equations: -

-
-    def 
-      sum x Zero = x ;
-      sum x (Succ y) = Succ (Sum x y) ;
-
-

-To compute a term is, as in functional programming languages, -simply to follow a chain of reductions until no definition -can be applied. For instance, we compute -

-
-    Sum one one -->
-    Sum (Succ Zero) (Succ Zero) -->
-    Succ (sum (Succ Zero) Zero) -->
-    Succ (Succ Zero)
-
-

-Computation in GF is performed with the pt command and the -compute transformation, e.g. -

-
-    > p -tr "1 + 1" | pt -transform=compute -tr | l
-    sum one one
-    Succ (Succ Zero)
-    s(s(0))
-
-

-

-The def definitions of a grammar induce a notion of -definitional equality among trees: two trees are -definitionally equal if they compute into the same tree. -Thus, trivially, all trees in a chain of computation -(such as the one above) -are definitionally equal to each other. So are the trees -

-
-    sum Zero (Succ one)
-    Succ one
-    sum (sum Zero Zero) (sum (Succ Zero) one)
-
-

-and infinitely many other trees. -

-

-A fact that has to be emphasized about def definitions is that -they are not performed as a first step of linearization. -We say that linearization is intensional, which means that -the definitional equality of two trees does not imply that -they have the same linearizations. For instance, each of the seven terms -shown above has a different linearizations in arithmetic notation: -

-
-    1 + 1
-    s(0) + s(0)
-    s(s(0) + 0)
-    s(s(0))
-    0 + s(0)
-    s(1)
-    0 + 0 + s(0) + 1
-
-

-This notion of intensionality is -no more exotic than the intensionality of any pretty-printing -function of a programming language (function that shows -the expressions of the language as strings). It is vital for -pretty-printing to be intensional in this sense - if we want, -for instance, to trace a chain of computation by pretty-printing each -intermediate step, what we want to see is a sequence of different -expression, which are definitionally equal. -

-

-What is more exotic is that GF has two ways of referring to the -abstract syntax objects. In the concrete syntax, the reference is intensional. -In the abstract syntax, the reference is extensional, since -type checking is extensional. The reason is that, -in the type theory with dependent types, types may depend on terms. -Two types depending on terms that are definitionally equal are -equal types. For instance, -

-
-    Proof (Odd one)
-    Proof (Odd (Succ Zero))
-
-

-are equal types. Hence, any tree that type checks as a proof that -1 is odd also type checks as a proof that the successor of 0 is odd. -(Recall, in this connection, that the -arguments a category depends on never play any role -in the linearization of trees of that category, -nor in the definition of the linearization type.) -

-

-In addition to computation, definitions impose a -paraphrase relation on expressions: -two strings are paraphrases if they -are linearizations of trees that are -definitionally equal. -Paraphrases are sometimes interesting for -translation: the direct translation -of a string, which is the linearization of the same tree -in the targer language, may be inadequate because it is e.g. -unidiomatic or ambiguous. In such a case, -the translation algorithm may be made to consider -translation by a paraphrase. -

-

-To stress express the distinction between -constructors (=canonical functions) -and other functions, GF has a judgement form -data to tell that certain functions are canonical, e.g. -

-
-    data Nat = Succ | Zero ;
-
-

-Unlike in Haskell, but similarly to ALF (where constructor functions -are marked with a flag C), -new constructors can be added to -a type with new data judgements. The type signatures of constructors -are given separately, in ordinary fun judgements. -One can also write directly -

-
-    data Succ : Nat -> Nat ;
-
-

-which is equivalent to the two judgements -

-
-    fun Succ : Nat -> Nat ;
-    data Nat = Succ ;
-
-

- -

Case study: representing anaphoric reference TODO

- -

Transfer modules TODO

-

-Transfer means noncompositional tree-transforming operations. -The command apply_transfer = at is typically used in a pipe: -

-
-    > p "John walks and John runs" | apply_transfer aggregate | l
-    John walks and runs
-
-

-See the -sources of this example. -

-

-See the -transfer language documentation -for more information. -

- -

Practical issues TODO

- -

Lexers and unlexers

-

-Lexers and unlexers can be chosen from -a list of predefined ones, using the flags-lexer and `` -unlexer`` either -in the grammar file or on the GF command line. -

-

-Given by help -lexer, help -unlexer: -

-
-      The default is words.
-      -lexer=words         tokens are separated by spaces or newlines
-      -lexer=literals      like words, but GF integer and string literals recognized
-      -lexer=vars          like words, but "x","x_...","$...$" as vars, "?..." as meta
-      -lexer=chars         each character is a token
-      -lexer=code          use Haskell's lex
-      -lexer=codevars      like code, but treat unknown words as variables, ?? as meta
-      -lexer=text          with conventions on punctuation and capital letters
-      -lexer=codelit       like code, but treat unknown words as string literals
-      -lexer=textlit       like text, but treat unknown words as string literals
-      -lexer=codeC         use a C-like lexer
-      -lexer=ignore        like literals, but ignore unknown words
-      -lexer=subseqs       like ignore, but then try all subsequences from longest
-  
-      The default is unwords.
-      -unlexer=unwords     space-separated token list (like unwords)
-      -unlexer=text        format as text: punctuation, capitals, paragraph <p>
-      -unlexer=code        format as code (spacing, indentation)
-      -unlexer=textlit     like text, but remove string literal quotes
-      -unlexer=codelit     like code, but remove string literal quotes
-      -unlexer=concat      remove all spaces
-      -unlexer=bind        like identity, but bind at "&+"
-
-

- -

Efficiency of grammars

-

-Issues: -

-
    -
  • the choice of datastructures in lincats -
  • the value of the optimize flag -
  • parsing efficiency: -fcfg vs. others -
- - -

Speech input and output

-

-Thespeak_aloud = sa command sends a string to the speech -synthesizer -Flite. -It is typically used via a pipe: -

-
-   generate_random | linearize | speak_aloud
-
-

-The result is only satisfactory for English. -

-

-The speech_input = si command receives a string from a -speech recognizer that requires the installation of -ATK. -It is typically used to pipe input to a parser: -

-
-   speech_input -tr | parse
-
-

-The method words only for grammars of English. -

-

-Both Flite and ATK are freely available through the links -above, but they are not distributed together with GF. -

- -

Multilingual syntax editor

-

-The -Editor User Manual -describes the use of the editor, which works for any multilingual GF grammar. -

-

-Here is a snapshot of the editor: -

-

- -

-

-The grammars of the snapshot are from the -Letter grammar package. -

- -

Interactive Development Environment (IDE)

-

-Forthcoming. -

- -

Communicating with GF

-

-Other processes can communicate with the GF command interpreter, -and also with the GF syntax editor. Useful flags when invoking GF are -

-
    -
  • -batch suppresses the promps and structures the communication with XML tags. -
  • -s suppresses non-output non-error messages and XML tags. --- -nocpu suppresses CPU time indication. -

    -Thus the most silent way to invoke GF is -
    -    gf -batch -s -nocpu
-
    -
- - -

Embedded grammars in Haskell, Java, and Prolog

-

-GF grammars can be used as parts of programs written in the -following languages. The links give more documentation. -

- - - -

Alternative input and output grammar formats

-

-A summary is given in the following chart of GF grammar compiler phases: - -

- -

Larger case studies TODO

- -

Interfacing formal and natural languages

-

-Formal and Informal Software Specifications, -PhD Thesis by -Kristofer Johannisson, is an extensive example of this. -The system is based on a multilingual grammar relating the formal language OCL with -English and German. -

-

-A simpler example will be explained here. -

- -

A multimodal dialogue system

-

-See TALK project deliverables, TALK homepage -

- - - - diff --git a/doc/tutorial/gf-tutorial2_1.txt b/doc/tutorial/gf-tutorial2_1.txt deleted file mode 100644 index be011f8ca..000000000 --- a/doc/tutorial/gf-tutorial2_1.txt +++ /dev/null @@ -1,3166 +0,0 @@ -Grammatical Framework Tutorial -Author: Aarne Ranta aarne (at) cs.chalmers.se -Last update: %%date(%c) - -% NOTE: this is a txt2tags file. -% Create an html file from this file using: -% txt2tags --toc gf-tutorial2.txt - -%!target:html -%!encoding: iso-8859-1 - -%!postproc(tex): "subsection\*" "section" - -% workaround for some missing things in the format -% %!postproc(html): C-
-% %!postproc(html): -C
-% %!postproc(html): t- -% %!postproc(html): -t - - - - -[../gf-logo.png] - - - -%--! -==Introduction== - -===GF = Grammatical Framework=== - -The term GF is used for different things: - -- a **program** used for working with grammars -- a **programming language** in which grammars can be written -- a **theory** about grammars and languages - - -This tutorial is primarily about the GF program and -the GF programming language. -It will guide you - -- to use the GF program -- to write GF grammars -- to write programs in which GF grammars are used as components - - - -%--! -===What are GF grammars used for=== - -A grammar is a definition of a language. -From this definition, different language processing components -can be derived: - -- parsing: to analyse the language -- linearization: to generate the language -- translation: to analyse one language and generate another - - -A GF grammar can be seen as a declarative program from which these -processing tasks can be automatically derived. In addition, many -other tasks are readily available for GF grammars: - -- morphological analysis: find out the possible inflection forms of words -- morphological synthesis: generate all inflection forms of words -- random generation: generate random expressions -- corpus generation: generate all expressions -- teaching quizzes: train morphology and translation -- multilingual authoring: create a document in many languages simultaneously -- speech input: optimize a speech recognition system for your grammar - - -A typical GF application is based on a **multilingual grammar** involving -translation on a special domain. Existing applications of this idea include - -- [Alfa: http://www.cs.chalmers.se/~hallgren/Alfa/Tutorial/GFplugin.html]: - a natural-language interface to a proof editor - (languages: English, French, Swedish) -- [KeY http://www.key-project.org/]: - a multilingual authoring system for creating software specifications - (languages: OCL, English, German) -- [TALK http://www.talk-project.org]: - multilingual and multimodal dialogue systems - (languages: English, Finnish, French, German, Italian, Spanish, Swedish) -- [WebALT http://webalt.math.helsinki.fi/content/index_eng.html]: - a multilingual translator of mathematical exercises - (languages: Catalan, English, Finnish, French, Spanish, Swedish) -- [Numeral translator http://www.cs.chalmers.se/~bringert/gf/translate/]: - number words from 1 to 999,999 - (88 languages) - - -The specialization of a grammar to a domain makes it possible to -obtain much better translations than in an unlimited machine translation -system. This is due to the well-defined semantics of such domains. -Grammars having this character are called **application grammars**. -They are different from most grammars written by linguists just -because they are multilingual and domain-specific. - -However, there is another kind of grammars, which we call **resource grammars**. -These are large, comprehensive grammars that can be used on any domain. -The GF Resource Grammar Library has resource grammars for 10 languages. -These grammars can be used as **libraries** to define application grammars. -In this way, it is possible to write a high-quality grammar without -knowing about linguistics: in general, to write an application grammar -by using the resource library just requires practical knowledge of -the target language. and all theoretical knowledge about its grammar -is given by the libraries. - - - - -%--! -===Who is this tutorial for=== - -This tutorial is mainly for programmers who want to learn to write -application grammars. It will go through GF's programming concepts -without entering too deep into linguistics. Thus it should -be accessible to anyone who has some previous programming experience. - -A separate document is being written on how to write resource grammars. -This includes the ways in which linguistic problems posed by different -languages are solved in GF. - - -%--! -===The coverage of the tutorial=== - -The tutorial gives a hands-on introduction to grammar writing. -We start by building a small grammar for the domain of food: -in this grammar, you can say things like -``` - this Italian cheese is delicious -``` -in English and Italian. - -The first English grammar -[``food.cf`` food.cf] -is written in a context-free -notation (also known as BNF). The BNF format is often a good -starting point for GF grammar development, because it is -simple and widely used. However, the BNF format is not -good for multilingual grammars. While it is possible to -"translate" by just changing the words contained in a -BNF grammar to words of some other -language, proper translation usually involves more. -For instance, the order of words may have to be changed: -``` - Italian cheese ===> formaggio italiano -``` -The full GF grammar format is designed to support such -changes, by separating between the **abstract syntax** -(the logical structure) and the **concrete syntax** (the -sequence of words) of expressions. - -There is more than words and word order that makes languages -different. Words can have different forms, and which forms -they have vary from language to language. For instance, -Italian adjectives usually have four forms where English -has just one: -``` - delicious (wine, wines, pizza, pizzas) - vino delizioso, vini deliziosi, pizza deliziosa, pizze deliziose -``` -The **morphology** of a language describes the -forms of its words. While the complete description of morphology -belongs to resource grammars, this tutorial will explain the -programming concepts involved in morphology. This will moreover -make it possible to grow the fragment covered by the food example. -The tutorial will in fact build a miniature resource grammar in order -to illustrate the module structure of library-based application -grammar writing. - -Thus it is by elaborating the initial ``food.cf`` example that -the tutorial makes a guided tour through all concepts of GF. -While the constructs of the GF language are the main focus, -also the commands of the GF system are introduced as they -are needed. - -To learn how to write GF grammars is not the only goal of -this tutorial. To learn the commands of the GF system means -that simple applications of grammars, such as translation and -quiz systems, can be built simply by writing scripts for the -system. More complicated applications, such as natural-language -interfaces and dialogue systems, also require programming in -some general-purpose language. We will briefly explain how -GF grammars are used as components of Haskell, Java, Javascript, -and Prolog grammars. The tutorial concludes with a couple of -case studies showing how such complete systems can be built. - - - -%--! -===Getting the GF program=== - -The GF program is open-source free software, which you can download via the -GF Homepage: -[``http://www.cs.chalmers.se/~aarne/GF`` http://www.cs.chalmers.se/~aarne/GF] - -There you can download -- binaries for Linux, Solaris, Macintosh, and Windows -- source code and documentation -- grammar libraries and examples - - -If you want to compile GF from source, you need Haskell and Java -compilers. But normally you don't have to compile, and you definitely -don't need to know Haskell or Java to use GF. - - -To start the GF program, assuming you have installed it, just type -``` - % gf -``` -in the shell. You will see GF's welcome message and the prompt ``>``. -The command -``` - > help -``` -will give you a list of available commands. - -As a common convention in this Tutorial, we will use -- ``%`` as a prompt that marks system commands -- ``>`` as a prompt that marks GF commands - - -Thus you should not type these prompts, but only the lines that -follow them. - - -%--! -==The .cf grammar format== - -Now you are ready to try out your first grammar. -We start with one that is not written in the GF language, but -in the much more common BNF notation (Backus Naur Form). The GF -program understands a variant of this notation and translates it -internally to GF's own representation. - -To get started, type (or copy) the following lines into a file named -``food.cf``: -``` -Is. S ::= Item "is" Quality ; -That. Item ::= "that" Kind ; -This. Item ::= "this" Kind ; -QKind. Kind ::= Quality Kind ; -Cheese. Kind ::= "cheese" ; -Fish. Kind ::= "fish" ; -Wine. Kind ::= "wine" ; -Italian. Quality ::= "Italian" ; -Boring. Quality ::= "boring" ; -Delicious. Quality ::= "delicious" ; -Expensive. Quality ::= "expensive" ; -Fresh. Quality ::= "fresh" ; -Very. Quality ::= "very" Quality ; -Warm. Quality ::= "warm" ; -``` -For those who know ordinary BNF, the -notation we use includes one extra element: a **label** appearing -as the first element of each rule and terminated by a full stop. - -The grammar we wrote defines a set of phrases usable for speaking about food. -It builds **sentences** (``S``) by assigning ``Quality``s to -``Item``s. ``Item``s are build from ``Kind``s by prepending the -word "this" or "that". ``Kind``s are either **atomic**, such as -"cheese" and "wine", or formed by prepending a ``Quality`` to a -``Kind``. A ``Quality`` is either atomic, such as "Italian" and "boring", -or built by another ``Quality`` by prepending "very". Those familiar with -the context-free grammar notation will notice that, for instance, the -following sentence can be built using this grammar: -``` - this delicious Italian wine is very very expensive -``` - - - -%--! -===Importing grammars and parsing strings=== - -The first GF command needed when using a grammar is to **import** it. -The command has a long name, ``import``, and a short name, ``i``. -You can type either -``` - > import food.cf -``` -or -``` - > i food.cf -``` -to get the same effect. -The effect is that the GF program **compiles** your grammar into an internal -representation, and shows a new prompt when it is ready. - -You can now use GF for **parsing**: -``` - > parse "this cheese is delicious" - Is (This Cheese) Delicious - - > p "that wine is very very Italian" - Is (That Wine) (Very (Very Italian)) -``` -The ``parse`` (= ``p``) command takes a **string** -(in double quotes) and returns an **abstract syntax tree** - the thing -beginning with ``Is``. Trees are built from the rule labels given in the -grammar, and record the ways in which the rules are used to produce the -strings. A tree is, in general, something easier than a string -for a machine to understand and to process further. - -Strings that return a tree when parsed do so in virtue of the grammar -you imported. Try parsing something else, and you fail -``` - > p "hello world" - No success in cf parsing hello world - no tree found -``` - - - -%--! -===Generating trees and strings=== - -You can also use GF for **linearizing** -(``linearize = l``). This is the inverse of -parsing, taking trees into strings: -``` - > linearize Is (That Wine) Warm - that wine is warm -``` -What is the use of this? Typically not that you type in a tree at -the GF prompt. The utility of linearization comes from the fact that -you can obtain a tree from somewhere else. One way to do so is -**random generation** (``generate_random = gr``): -``` - > generate_random - Is (This (QKind Italian Fish)) Fresh -``` -Now you can copy the tree and paste it to the ``linearize command``. -Or, more conveniently, feed random generation into linearization by using -a **pipe**. -``` - > gr | l - this Italian fish is fresh -``` - -%--! -===Visualizing trees=== - -The gibberish code with parentheses returned by the parser does not -look like trees. Why is it called so? From the abstract mathematical -point of view, trees are a data structure that -represents **nesting**: trees are branching entities, and the branches -are themselves trees. Parentheses give a linear representation of trees, -useful for the computer. But the human eye may prefer to see a visualization; -for this purpose, GF provides the command ``visualizre_tree = vt``, to which -parsing (and any other tree-producing command) can be piped: - -``` - parse "this delicious cheese is very Italian" | vt -``` - -[Tree2.png] - - -%--! -===Some random-generated sentences=== - -Random generation is a good way to test a grammar; it can also -be quite amusing. So you may want to -generate ten strings with one and the same command: -``` - > gr -number=10 | l - that wine is boring - that fresh cheese is fresh - that cheese is very boring - this cheese is Italian - that expensive cheese is expensive - that fish is fresh - that wine is very Italian - this wine is Italian - this cheese is boring - this fish is boring -``` - - -%--! -===Systematic generation=== - -To generate //all// sentence that a grammar -can generate, use the command ``generate_trees = gt``. -``` - > generate_trees | l - that cheese is very Italian - that cheese is very boring - that cheese is very delicious - that cheese is very expensive - that cheese is very fresh - ... - this wine is expensive - this wine is fresh - this wine is warm - -``` -You get quite a few trees but not all of them: only up to a given -**depth** of trees. To see how you can get more, use the -``help = h`` command, -``` - help gt -``` -**Quiz**. If the command ``gt`` generated all -trees in your grammar, it would never terminate. Why? - - - -%--! -===More on pipes; tracing=== - -A pipe of GF commands can have any length, but the "output type" -(either string or tree) of one command must always match the "input type" -of the next command. - -The intermediate results in a pipe can be observed by putting the -**tracing** flag ``-tr`` to each command whose output you -want to see: -``` - > gr -tr | l -tr | p - - Is (This Cheese) Boring - this cheese is boring - Is (This Cheese) Boring -``` -This facility is good for test purposes: for instance, you -may want to see if a grammar is **ambiguous**, i.e. -contains strings that can be parsed in more than one way. - - - -%--! -===Writing and reading files=== - -To save the outputs of GF commands into a file, you can -pipe it to the ``write_file = wf`` command, -``` - > gr -number=10 | l | write_file exx.tmp -``` -You can read the file back to GF with the -``read_file = rf`` command, -``` - > read_file exx.tmp | p -lines -``` -Notice the flag ``-lines`` given to the parsing -command. This flag tells GF to parse each line of -the file separately. Without the flag, the grammar could -not recognize the string in the file, because it is not -a sentence but a sequence of ten sentences. - - - - -%--! -==The .gf grammar format== - -To see GF's internal representation of a grammar -that you have imported, you can give the command -``print_grammar = pg``, -``` - > print_grammar -``` -The output is quite unreadable at this stage, and you may feel happy that -you did not need to write the grammar in that notation, but that the -GF grammar compiler produced it. - -However, we will now start the demonstration -how GF's own notation gives you -much more expressive power than the ``.cf`` -format. We will introduce the ``.gf`` format by presenting -another way of defining the same grammar as in -``food.cf``. -Then we will show how the full GF grammar format enables you -to do things that are not possible in the context-free format. - - -%--! -===Abstract and concrete syntax=== - -A GF grammar consists of two main parts: - -- **abstract syntax**, defining what syntax trees there are -- **concrete syntax**, defining how trees are linearized into strings - - -The context-free format fuses these two things together, but it is always -possible to take them apart. For instance, the sentence formation rule -``` - Is. S ::= Item "is" Quality ; -``` -is interpreted as the following pair of GF rules: -``` - fun Is : Item -> Quality -> S ; - lin Is item quality = {s = item.s ++ "is" ++ quality.s} ; -``` -The former rule, with the keyword ``fun``, belongs to the abstract syntax. -It defines the **function** -``Is`` which constructs syntax trees of form -(``Is`` //item// //quality//). - -The latter rule, with the keyword ``lin``, belongs to the concrete syntax. -It defines the **linearization function** for -syntax trees of form (``Is`` //item// //quality//). - - -%--! -===Judgement forms=== - -Rules in a GF grammar are called **judgements**, and the keywords -``fun`` and ``lin`` are used for distinguishing between two -**judgement forms**. Here is a summary of the most important -judgement forms: - - - abstract syntax - - | form | reading | - | ``cat`` C | C is a category - | ``fun`` f ``:`` A | f is a function of type A - - - concrete syntax - - | form | reading | - | ``lincat`` C ``=`` T | category C has linearization type T - | ``lin`` f ``=`` t | function f has linearization t - - - -We return to the precise meanings of these judgement forms later. -First we will look at how judgements are grouped into modules, and -show how the food grammar is -expressed by using modules and judgements. - - -%--! -===Module types=== - -A GF grammar consists of **modules**, -into which judgements are grouped. The most important -module forms are - - - ``abstract`` A ``=`` M, abstract syntax A with judgements in - the module body M. - - ``concrete`` C ``of`` A ``=`` M, concrete syntax C of the - abstract syntax A, with judgements in the module body M. - - - -%--! -===Records and strings=== - -The linearization type of a category is a **record type**, with -zero of more **fields** of different types. The simplest record -type used for linearization in GF is -``` - {s : Str} -``` -which has one field, with **label** ``s`` and type ``Str``. - -Examples of records of this type are -``` - {s = "foo"} - {s = "hello" ++ "world"} -``` - -Whenever a record ``r`` of type ``{s : Str}`` is given, -``r.s`` is an object of type ``Str``. This is -a special case of the **projection** rule, allowing the extraction -of fields from a record: - -- if //r// : ``{`` ... //p// : //T// ... ``}`` then //r.p// : //T// - - -The type ``Str`` is really the type of **token lists**, but -most of the time one can conveniently think of it as the type of strings, -denoted by string literals in double quotes. - -Notice that -``` "hello world" -is not recommended as an expression of type ``Str``. It denotes -a token with a space in it, and will usually -not work with the lexical analysis that precedes parsing. A shorthand -exemplified by -``` ["hello world and people"] === "hello" ++ "world" ++ "and" ++ "people" -can be used for lists of tokens. The expression -``` [] -denotes the empty token list. - - - -%--! -===An abstract syntax example=== - -To express the abstract syntax of ``food.cf`` in -a file ``Food.gf``, we write two kinds of judgements: - -- Each category is introduced by a ``cat`` judgement. -- Each rule label is introduced by a ``fun`` judgement, - with the type formed from the nonterminals of the rule. - - -``` - abstract Food = { - - cat - S ; Item ; Kind ; Quality ; - - fun - Is : Item -> Quality -> S ; - This, That : Kind -> Item ; - QKind : Quality -> Kind -> Kind ; - Wine, Cheese, Fish : Kind ; - Very : Quality -> Quality ; - Fresh, Warm, Italian, Expensive, Delicious, Boring : Quality ; - } -``` -Notice the use of shorthands permitting the sharing of -the keyword in subsequent judgements, -``` - cat S ; Item ; === cat S ; cat Item ; -``` -and of the type in subsequent ``fun`` judgements, -``` - fun Wine, Fish : Kind ; === - fun Wine : Kind ; Fish : Kind ; === - fun Wine : Kind ; fun Fish : Kind ; -``` -The order of judgements in a module is free. - - - -%--! -===A concrete syntax example=== - -Each category introduced in ``Food.gf`` is -given a ``lincat`` rule, and each -function is given a ``lin`` rule. Similar shorthands -apply as in ``abstract`` modules. -``` - concrete FoodEng of Food = { - - lincat - S, Item, Kind, Quality = {s : Str} ; - - lin - Is item quality = {s = item.s ++ "is" ++ quality.s} ; - This kind = {s = "this" ++ kind.s} ; - That kind = {s = "that" ++ kind.s} ; - QKind quality kind = {s = quality.s ++ kind.s} ; - Wine = {s = "wine"} ; - Cheese = {s = "cheese"} ; - Fish = {s = "fish"} ; - Very quality = {s = "very" ++ quality.s} ; - Fresh = {s = "fresh"} ; - Warm = {s = "warm"} ; - Italian = {s = "Italian"} ; - Expensive = {s = "expensive"} ; - Delicious = {s = "delicious"} ; - Boring = {s = "boring"} ; - } -``` - - -%--! -===Modules and files=== - -Source files: Module name + ``.gf`` = file name - -Target files: each module is compiled into a ``.gfc`` file. - -Import ``FoodEng.gf`` and see what happens -``` - > i FoodEng.gf -``` -The GF program does not only read the file -``FoodEng.gf``, but also all other files that it -depends on - in this case, ``Food.gf``. - -For each file that is compiled, a ``.gfc`` file -is generated. The GFC format (="GF Canonical") is the -"machine code" of GF, which is faster to process than -GF source files. When reading a module, GF decides whether -to use an existing ``.gfc`` file or to generate -a new one, by looking at modification times. - - - -%--! -==Multilingual grammars and translation== - -The main advantage of separating abstract from concrete syntax is that -one abstract syntax can be equipped with many concrete syntaxes. -A system with this property is called a **multilingual grammar**. - -Multilingual grammars can be used for applications such as -translation. Let us build an Italian concrete syntax for -``Food`` and then test the resulting -multilingual grammar. - - - - -%--! -===An Italian concrete syntax=== - -``` -concrete FoodIta of Food = { - - lincat - S, Item, Kind, Quality = {s : Str} ; - - lin - Is item quality = {s = item.s ++ "è" ++ quality.s} ; - This kind = {s = "questo" ++ kind.s} ; - That kind = {s = "quello" ++ kind.s} ; - QKind quality kind = {s = kind.s ++ quality.s} ; - Wine = {s = "vino"} ; - Cheese = {s = "formaggio"} ; - Fish = {s = "pesce"} ; - Very quality = {s = "molto" ++ quality.s} ; - Fresh = {s = "fresco"} ; - Warm = {s = "caldo"} ; - Italian = {s = "italiano"} ; - Expensive = {s = "caro"} ; - Delicious = {s = "delizioso"} ; - Boring = {s = "noioso"} ; - -} - -``` - -%--! -===Using a multilingual grammar=== - -Import the two grammars in the same GF session. -``` - > i FoodEng.gf - > i FoodIta.gf -``` -Try generation now: -``` - > gr | l - quello formaggio molto noioso è italiano - - > gr | l -lang=FoodEng - this fish is warm -``` -Translate by using a pipe: -``` - > p -lang=FoodEng "this cheese is very delicious" | l -lang=FoodIta - questo formaggio è molto delizioso -``` -The ``lang`` flag tells GF which concrete syntax to use in parsing and -linearization. By default, the flag is set to the last-imported grammar. -To see what grammars are in scope and which is the main one, use the command -``print_options = po``: -``` - > print_options - main abstract : Food - main concrete : FoodIta - actual concretes : FoodIta FoodEng -``` - - -%--! -===Translation session=== - -If translation is what you want to do with a set of grammars, a convenient -way to do it is to open a ``translation_session = ts``. In this session, -you can translate between all the languages that are in scope. -A dot ``.`` terminates the translation session. -``` - > ts - - trans> that very warm cheese is boring - quello formaggio molto caldo è noioso - that very warm cheese is boring - - trans> questo vino molto italiano è molto delizioso - questo vino molto italiano è molto delizioso - this very Italian wine is very delicious - - trans> . - > -``` - - - -%--! -===Translation quiz=== - -This is a simple language exercise that can be automatically -generated from a multilingual grammar. The system generates a set of -random sentences, displays them in one language, and checks the user's -answer given in another language. The command ``translation_quiz = tq`` -makes this in a subshell of GF. -``` - > translation_quiz FoodEng FoodIta - - Welcome to GF Translation Quiz. - The quiz is over when you have done at least 10 examples - with at least 75 % success. - You can interrupt the quiz by entering a line consisting of a dot ('.'). - - this fish is warm - questo pesce è caldo - > Yes. - Score 1/1 - - this cheese is Italian - questo formaggio è noioso - > No, not questo formaggio è noioso, but - questo formaggio è italiano - - Score 1/2 - this fish is expensive -``` -You can also generate a list of translation exercises and save it in a -file for later use, by the command ``translation_list = tl`` -``` - > translation_list -number=25 FoodEng FoodIta -``` -The ``number`` flag gives the number of sentences generated. - - - -%--! -==Grammar architecture== - -===Extending a grammar=== - -The module system of GF makes it possible to **extend** a -grammar in different ways. The syntax of extension is -shown by the following example. We extend ``Food`` by -adding a category of questions and two new functions. -``` - abstract Morefood = Food ** { - cat - Question ; - fun - QIs : Item -> Quality -> Question ; - Pizza : Kind ; - - } -``` -Parallel to the abstract syntax, extensions can -be built for concrete syntaxes: -``` - concrete MorefoodEng of Morefood = FoodEng ** { - lincat - Question = {s : Str} ; - lin - QIs item quality = {s = "is" ++ item.s ++ quality.s} ; - Pizza = {s = "pizza"} ; - } -``` -The effect of extension is that all of the contents of the extended -and extending module are put together. - - - -%--! -===Multiple inheritance=== - -Specialized vocabularies can be represented as small grammars that -only do "one thing" each. For instance, the following are grammars -for fruit and mushrooms -``` - abstract Fruit = { - cat Fruit ; - fun Apple, Peach : Fruit ; - } - - abstract Mushroom = { - cat Mushroom ; - fun Cep, Agaric : Mushroom ; - } -``` -They can afterwards be combined into bigger grammars by using -**multiple inheritance**, i.e. extension of several grammars at the -same time: -``` - abstract Foodmarket = Food, Fruit, Mushroom ** { - fun - FruitKind : Fruit -> Kind ; - MushroomKind : Mushroom -> Kind ; - } -``` -At this point, you would perhaps like to go back to -``Food`` and take apart ``Wine`` to build a special -``Drink`` module. - - -%--! -===Visualizing module structure=== - -When you have created all the abstract syntaxes and -one set of concrete syntaxes needed for ``Foodmarket``, -your grammar consists of eight GF modules. To see how their -dependences look like, you can use the command -``visualize_graph = vg``, -``` - > visualize_graph -``` -and the graph will pop up in a separate window. - -The graph uses - -- oval boxes for abstract modules -- square boxes for concrete modules -- black-headed arrows for inheritance -- white-headed arrows for the concrete-of-abstract relation - - -[Foodmarket.png] - - - -%--! -===System commands=== - -To document your grammar, you may want to print the -graph into a file, e.g. a ``.png`` file that -can be included in an HTML document. You can do this -by first printing the graph into a file ``.dot`` and then -processing this file with the ``dot`` program. -``` - > pm -printer=graph | wf Foodmarket.dot - > ! dot -Tpng Foodmarket.dot > Foodmarket.png -``` -The latter command is a Unix command, issued from GF by using the -shell escape symbol ``!``. The resulting graph was shown in the previous section. - -The command ``print_multi = pm`` is used for printing the current multilingual -grammar in various formats, of which the format ``-printer=graph`` just -shows the module dependencies. Use ``help`` to see what other formats -are available: -``` - > help pm - > help -printer -``` - - - -%--! -==Resource modules== - - -===The golden rule of functional programming=== - -In comparison to the ``.cf`` format, the ``.gf`` format looks rather -verbose, and demands lots more characters to be written. You have probably -done this by the copy-paste-modify method, which is a common way to -avoid repeating work. - -However, there is a more elegant way to avoid repeating work than the copy-and-paste -method. The **golden rule of functional programming** says that - -- whenever you find yourself programming by copy-and-paste, write a function instead. - - -A function separates the shared parts of different computations from the -changing parts, parameters. In functional programming languages, such as -[Haskell http://www.haskell.org], it is possible to share much more than in -languages such as C and Java. - - -===Operation definitions=== - -GF is a functional programming language, not only in the sense that -the abstract syntax is a system of functions (``fun``), but also because -functional programming can be used to define concrete syntax. This is -done by using a new form of judgement, with the keyword ``oper`` (for -**operation**), distinct from ``fun`` for the sake of clarity. -Here is a simple example of an operation: -``` - oper ss : Str -> {s : Str} = \x -> {s = x} ; -``` -The operation can be **applied** to an argument, and GF will -**compute** the application into a value. For instance, -``` - ss "boy" ---> {s = "boy"} -``` -(We use the symbol ``--->`` to indicate how an expression is -computed into a value; this symbol is not a part of GF) - -Thus an ``oper`` judgement includes the name of the defined operation, -its type, and an expression defining it. As for the syntax of the defining -expression, notice the **lambda abstraction** form ``\x -> t`` of -the function. - - - -%--! -===The ``resource`` module type=== - -Operator definitions can be included in a concrete syntax. -But they are not really tied to a particular set of linearization rules. -They should rather be seen as **resources** -usable in many concrete syntaxes. - -The ``resource`` module type can be used to package -``oper`` definitions into reusable resources. Here is -an example, with a handful of operations to manipulate -strings and records. -``` - resource StringOper = { - oper - SS : Type = {s : Str} ; - ss : Str -> SS = \x -> {s = x} ; - cc : SS -> SS -> SS = \x,y -> ss (x.s ++ y.s) ; - prefix : Str -> SS -> SS = \p,x -> ss (p ++ x.s) ; - } -``` -Resource modules can extend other resource modules, in the -same way as modules of other types can extend modules of the -same type. Thus it is possible to build resource hierarchies. - - - -%--! -===Opening a ``resource``=== - -Any number of ``resource`` modules can be -**opened** in a ``concrete`` syntax, which -makes definitions contained -in the resource usable in the concrete syntax. Here is -an example, where the resource ``StringOper`` is -opened in a new version of ``FoodEng``. -``` - concrete Food2Eng of Food = open StringOper in { - - lincat - S, Item, Kind, Quality = SS ; - - lin - Is item quality = cc item (prefix "is" quality) ; - This = prefix "this" ; - That = prefix "that" ; - QKind = cc ; - Wine = ss "wine" ; - Cheese = ss "cheese" ; - Fish = ss "fish" ; - Very = prefix "very" ; - Fresh = ss "fresh" ; - Warm = ss "warm" ; - Italian = ss "Italian" ; - Expensive = ss "expensive" ; - Delicious = ss "delicious" ; - Boring = ss "boring" ; - - } -``` -The same string operations could be used to write ``FoodIta`` -more concisely. - - -%--! -===Division of labour=== - -Using operations defined in resource modules is a -way to avoid repetitive code. -In addition, it enables a new kind of modularity -and division of labour in grammar writing: grammarians familiar with -the linguistic details of a language can make this knowledge -available through resource grammar modules, whose users only need -to pick the right operations and not to know their implementation -details. - - - - -%--! -==Morphology== - -Suppose we want to say, with the vocabulary included in -``Food.gf``, things like -``` - all Italian wines are delicious -``` -The new grammatical facility we need are the plural forms -of nouns and verbs (//wines, are//), as opposed to their -singular forms. - -The introduction of plural forms requires two things: - -- the **inflection** of nouns and verbs in singular and plural -- the **agreement** of the verb to subject: - the verb must have the same number as the subject - - -Different languages have different rules of inflection and agreement. -For instance, Italian has also agreement in gender (masculine vs. feminine). -We want to express such special features of languages in the -concrete syntax while ignoring them in the abstract syntax. - -To be able to do all this, we need one new judgement form -and many new expression forms. -We also need to generalize linearization types -from strings to more complex types. - - -%--! -===Parameters and tables=== - -We define the **parameter type** of number in Englisn by -using a new form of judgement: -``` - param Number = Sg | Pl ; -``` -To express that ``Kind`` expressions in English have a linearization -depending on number, we replace the linearization type ``{s : Str}`` -with a type where the ``s`` field is a **table** depending on number: -``` - lincat Kind = {s : Number => Str} ; -``` -The **table type** ``Number => Str`` is in many respects similar to -a function type (``Number -> Str``). The main difference is that the -argument type of a table type must always be a parameter type. This means -that the argument-value pairs can be listed in a finite table. The following -example shows such a table: -``` - lin Cheese = {s = table { - Sg => "cheese" ; - Pl => "cheeses" - } - } ; -``` -The table consists of **branches**, where a **pattern** on the -left of the arrow ``=>`` is assigned a **value** on the right. - -The application of a table to a parameter is done by the **selection** -operator ``!``. For instance, -``` - table {Sg => "cheese" ; Pl => "cheeses"} ! Pl -``` -is a selection that computes into the value ``"cheeses"``. -This computation is performed by **pattern matching**: return -the value from the first branch whose pattern matches the -selection argument. - - -%--! -===Inflection tables, paradigms, and ``oper`` definitions=== - -All English common nouns are inflected in number, most of them in the -same way: the plural form is obtained from the singular by adding the -ending //s//. This rule is an example of -a **paradigm** - a formula telling how the inflection -forms of a word are formed. - -From the GF point of view, a paradigm is a function that takes a **lemma** - -also known as a **dictionary form** - and returns an inflection -table of desired type. Paradigms are not functions in the sense of the -``fun`` judgements of abstract syntax (which operate on trees and not -on strings), but operations defined in ``oper`` judgements. -The following operation defines the regular noun paradigm of English: -``` - oper regNoun : Str -> {s : Number => Str} = \x -> { - s = table { - Sg => x ; - Pl => x + "s" - } - } ; -``` -The **gluing** operator ``+`` tells that -the string held in the variable ``x`` and the ending ``"s"`` -are written together to form one **token**. Thus, for instance, -``` - (regNoun "cheese").s ! Pl ---> "cheese" + "s" ---> "cheeses" -``` - - - -%--! -===Worst-case functions and data abstraction=== - -Some English nouns, such as ``mouse``, are so irregular that -it makes no sense to see them as instances of a paradigm. Even -then, it is useful to perform **data abstraction** from the -definition of the type ``Noun``, and introduce a constructor -operation, a **worst-case function** for nouns: -``` - oper mkNoun : Str -> Str -> Noun = \x,y -> { - s = table { - Sg => x ; - Pl => y - } - } ; -``` -Thus we could define -``` - lin Mouse = mkNoun "mouse" "mice" ; -``` -and -``` - oper regNoun : Str -> Noun = \x -> - mkNoun x (x + "s") ; -``` -instead of writing the inflection table explicitly. - -The grammar engineering advantage of worst-case functions is that -the author of the resource module may change the definitions of -``Noun`` and ``mkNoun``, and still retain the -interface (i.e. the system of type signatures) that makes it -correct to use these functions in concrete modules. In programming -terms, ``Noun`` is then treated as an **abstract datatype**. - - - -%--! -===A system of paradigms using Prelude operations=== - -In addition to the completely regular noun paradigm ``regNoun``, -some other frequent noun paradigms deserve to be -defined, for instance, -``` - sNoun : Str -> Noun = \kiss -> mkNoun kiss (kiss + "es") ; -``` -What about nouns like //fly//, with the plural //flies//? The already -available solution is to use the longest common prefix -//fl// (also known as the **technical stem**) as argument, and define -``` - yNoun : Str -> Noun = \fl -> mkNoun (fl + "y") (fl + "ies") ; -``` -But this paradigm would be very unintuitive to use, because the technical stem -is not an existing form of the word. A better solution is to use -the lemma and a string operator ``init``, which returns the initial segment (i.e. -all characters but the last) of a string: -``` - yNoun : Str -> Noun = \fly -> mkNoun fly (init fly + "ies") ; -``` -The operation ``init`` belongs to a set of operations in the -resource module ``Prelude``, which therefore has to be -``open``ed so that ``init`` can be used. - - - -%--! -===An intelligent noun paradigm using ``case`` expressions=== - -It may be hard for the user of a resource morphology to pick the right -inflection paradigm. A way to help this is to define a more intelligent -paradigm, which chooses the ending by first analysing the lemma. -The following variant for English regular nouns puts together all the -previously shown paradigms, and chooses one of them on the basis of -the final letter of the lemma (found by the prelude operator ``last``). -``` - regNoun : Str -> Noun = \s -> case last s of { - "s" | "z" => mkNoun s (s + "es") ; - "y" => mkNoun s (init s + "ies") ; - _ => mkNoun s (s + "s") - } ; -``` -This definition displays many GF expression forms not shown befores; -these forms are explained in the next section. - -The paradigms ``regNoun`` does not give the correct forms for -all nouns. For instance, //mouse - mice// and -//fish - fish// must be given by using ``mkNoun``. -Also the word //boy// would be inflected incorrectly; to prevent -this, either use ``mkNoun`` or modify -``regNoun`` so that the ``"y"`` case does not -apply if the second-last character is a vowel. - - - -%--! -===Pattern matching=== - -We have so far built all expressions of the ``table`` form -from branches whose patterns are constants introduced in -``param`` definitions, as well as constant strings. -But there are more expressive patterns. Here is a summary of the possible forms: -- a variable pattern (identifier other than constant parameter) matches anything -- the wild card ``_`` matches anything -- a string literal pattern, e.g. ``"s"``, matches the same string -- a disjunctive pattern ``P | ... | Q`` matches anything that - one of the disjuncts matches - - -Pattern matching is performed in the order in which the branches -appear in the table: the branch of the first matching pattern is followed. - -As syntactic sugar, one-branch tables can be written concisely, -``` - \\P,...,Q => t === table {P => ... table {Q => t} ...} -``` -Finally, the ``case`` expressions common in functional -programming languages are syntactic sugar for table selections: -``` - case e of {...} === table {...} ! e -``` - - -%--! -===Morphological resource modules=== - -A common idiom is to -gather the ``oper`` and ``param`` definitions -needed for inflecting words in -a language into a morphology module. Here is a simple -example, [``MorphoEng`` resource/MorphoEng.gf]. -``` - --# -path=.:prelude - - resource MorphoEng = open Prelude in { - - param - Number = Sg | Pl ; - - oper - Noun, Verb : Type = {s : Number => Str} ; - - mkNoun : Str -> Str -> Noun = \x,y -> { - s = table { - Sg => x ; - Pl => y - } - } ; - - regNoun : Str -> Noun = \s -> case last s of { - "s" | "z" => mkNoun s (s + "es") ; - "y" => mkNoun s (init s + "ies") ; - _ => mkNoun s (s + "s") - } ; - - mkVerb : Str -> Str -> Verb = \x,y -> mkNoun y x ; - - regVerb : Str -> Verb = \s -> case last s of { - "s" | "z" => mkVerb s (s + "es") ; - "y" => mkVerb s (init s + "ies") ; - "o" => mkVerb s (s + "es") ; - _ => mkVerb s (s + "s") - } ; - } -``` -The first line gives as a hint to the compiler the -**search path** needed to find all the other modules that the -module depends on. The directory ``prelude`` is a subdirectory of -``GF/lib``; to be able to refer to it in this simple way, you can -set the environment variable ``GF_LIB_PATH`` to point to this -directory. - - -%--! -===Testing resource modules=== - -To test a ``resource`` module independently, you must import it -with the flag ``-retain``, which tells GF to retain ``oper`` definitions -in the memory; the usual behaviour is that ``oper`` definitions -are just applied to compile linearization rules -(this is called **inlining**) and then thrown away. -``` - > i -retain MorphoEng.gf -``` -The command ``compute_concrete = cc`` computes any expression -formed by operations and other GF constructs. For example, -``` - > cc regVerb "echo" - {s : Number => Str = table Number { - Sg => "echoes" ; - Pl => "echo" - } - } -``` - -The command ``show_operations = so``` shows the type signatures -of all operations returning a given value type: -``` - > so Verb - MorphoEng.mkNoun : Str -> Str -> {s : {MorphoEng.Number} => Str} - MorphoEng.mkVerb : Str -> Str -> {s : {MorphoEng.Number} => Str} - MorphoEng.regNoun : Str -> {s : {MorphoEng.Number} => Str} - MorphoEng.regVerb : Str -> { s : {MorphoEng.Number} => Str} -``` -Why does the command also show the operations that form -``Noun``s? The reason is that the type expression -``Verb`` is first computed, and its value happens to be -the same as the value of ``Noun``. - - - -==Using parameters in concrete syntax== - -We can now enrich the concrete syntax definitions to -comprise morphology. This will involve a more radical -variation between languages (e.g. English and Italian) -then just the use of different words. In general, -parameters and linearization types are different in -different languages - but this does not prevent the -use of a common abstract syntax. - - -%--! -===Parametric vs. inherent features, agreement=== - -The rule of subject-verb agreement in English says that the verb -phrase must be inflected in the number of the subject. This -means that a noun phrase (functioning as a subject), inherently -//has// a number, which it passes to the verb. The verb does not -//have// a number, but must be able to //receive// whatever number the -subject has. This distinction is nicely represented by the -different linearization types of **noun phrases** and **verb phrases**: -``` - lincat NP = {s : Str ; n : Number} ; - lincat VP = {s : Number => Str} ; -``` -We say that the number of ``NP`` is an **inherent feature**, -whereas the number of ``NP`` is a **variable feature** (or a -**parametric feature**). - -The agreement rule itself is expressed in the linearization rule of -the predication function: -``` - lin PredVP np vp = {s = np.s ++ vp.s ! np.n} ; -``` -The following section will present -``FoodsEng``, assuming the abstract syntax ``Foods`` -that is similar to ``Food`` but also has the -plural determiners ``These`` and ``Those``. -The reader is invited to inspect the way in which agreement works in -the formation of sentences. - - -%--! -===English concrete syntax with parameters=== - -The grammar uses both -[``Prelude`` ../../lib/prelude/Prelude.gf] and -[``MorphoEng`` resource/MorphoEng]. -We will later see how to make the grammar even -more high-level by using a resource grammar library -and parametrized modules. -``` ---# -path=.:resource:prelude - -concrete FoodsEng of Foods = open Prelude, MorphoEng in { - - lincat - S, Quality = SS ; - Kind = {s : Number => Str} ; - Item = {s : Str ; n : Number} ; - - lin - Is item quality = ss (item.s ++ (mkVerb "are" "is").s ! item.n ++ quality.s) ; - This = det Sg "this" ; - That = det Sg "that" ; - These = det Pl "these" ; - Those = det Pl "those" ; - QKind quality kind = {s = \\n => quality.s ++ kind.s ! n} ; - Wine = regNoun "wine" ; - Cheese = regNoun "cheese" ; - Fish = mkNoun "fish" "fish" ; - Very = prefixSS "very" ; - Fresh = ss "fresh" ; - Warm = ss "warm" ; - Italian = ss "Italian" ; - Expensive = ss "expensive" ; - Delicious = ss "delicious" ; - Boring = ss "boring" ; - - oper - det : Number -> Str -> Noun -> {s : Str ; n : Number} = \n,d,cn -> { - s = d ++ cn.s ! n ; - n = n - } ; - -} -``` - - - -%--! -===Hierarchic parameter types=== - -The reader familiar with a functional programming language such as -[Haskell http://www.haskell.org] must have noticed the similarity -between parameter types in GF and **algebraic datatypes** (``data`` definitions -in Haskell). The GF parameter types are actually a special case of algebraic -datatypes: the main restriction is that in GF, these types must be finite. -(It is this restriction that makes it possible to invert linearization rules into -parsing methods.) - -However, finite is not the same thing as enumerated. Even in GF, parameter -constructors can take arguments, provided these arguments are from other -parameter types - only recursion is forbidden. Such parameter types impose a -hierarchic order among parameters. They are often needed to define -the linguistically most accurate parameter systems. - -To give an example, Swedish adjectives -are inflected in number (singular or plural) and -gender (uter or neuter). These parameters would suggest 2*2=4 different -forms. However, the gender distinction is done only in the singular. Therefore, -it would be inaccurate to define adjective paradigms using the type -``Gender => Number => Str``. The following hierarchic definition -yields an accurate system of three adjectival forms. -``` - param AdjForm = ASg Gender | APl ; - param Gender = Utr | Neutr ; -``` -Here is an example of pattern matching, the paradigm of regular adjectives. -``` - oper regAdj : Str -> AdjForm => Str = \fin -> table { - ASg Utr => fin ; - ASg Neutr => fin + "t" ; - APl => fin + "a" ; - } -``` -A constructor can be used as a pattern that has patterns as arguments. For instance, -the adjectival paradigm in which the two singular forms are the same, -can be defined -``` - oper plattAdj : Str -> AdjForm => Str = \platt -> table { - ASg _ => platt ; - APl => platt + "a" ; - } -``` - - -%--! -===Morphological analysis and morphology quiz=== - -Even though morphology is in GF -mostly used as an auxiliary for syntax, it -can also be useful on its own right. The command ``morpho_analyse = ma`` -can be used to read a text and return for each word the analyses that -it has in the current concrete syntax. -``` - > rf bible.txt | morpho_analyse -``` -In the same way as translation exercises, morphological exercises can -be generated, by the command ``morpho_quiz = mq``. Usually, -the category is set to be something else than ``S``. For instance, -``` - > i lib/resource/french/VerbsFre.gf - > morpho_quiz -cat=V - - Welcome to GF Morphology Quiz. - ... - - réapparaître : VFin VCondit Pl P2 - réapparaitriez - > No, not réapparaitriez, but - réapparaîtriez - Score 0/1 -``` -Finally, a list of morphological exercises can be generated -off-line and saved in a -file for later use, by the command ``morpho_list = ml`` -``` - > morpho_list -number=25 -cat=V | wf exx.txt -``` -The ``number`` flag gives the number of exercises generated. - - - -%--! -===Discontinuous constituents=== - -A linearization type may contain more strings than one. -An example of where this is useful are English particle -verbs, such as //switch off//. The linearization of -a sentence may place the object between the verb and the particle: -//he switched it off//. - -The following judgement defines transitive verbs as -**discontinuous constituents**, i.e. as having a linearization -type with two strings and not just one. -``` - lincat TV = {s : Number => Str ; part : Str} ; -``` -This linearization rule -shows how the constituents are separated by the object in complementization. -``` - lin PredTV tv obj = {s = \\n => tv.s ! n ++ obj.s ++ tv.part} ; -``` -There is no restriction in the number of discontinuous constituents -(or other fields) a ``lincat`` may contain. The only condition is that -the fields must be of finite types, i.e. built from records, tables, -parameters, and ``Str``, and not functions. - -A mathematical result -about parsing in GF says that the worst-case complexity of parsing -increases with the number of discontinuous constituents. This is -potentially a reason to avoid discontinuous constituents. -Moreover, the parsing and linearization commands only give accurate -results for categories whose linearization type has a unique ``Str`` -valued field labelled ``s``. Therefore, discontinuous constituents -are not a good idea in top-level categories accessed by the users -of a grammar application. - - -%--! -===Free variation=== - -Sometimes there are many alternative ways to define a concrete syntax. -For instance, the verb negation in English can be expressed both by -//does not// and //doesn't//. In linguistic terms, these expressions -are in **free variation**. The ``variants`` construct of GF can -be used to give a list of strings in free variation. For example, -``` - NegVerb verb = {s = variants {["does not"] ; "doesn't} ++ verb.s ! Pl} ; -``` -An empty variant list -``` - variants {} -``` -can be used e.g. if a word lacks a certain form. - -In general, ``variants`` should be used cautiously. It is not -recommended for modules aimed to be libraries, because the -user of the library has no way to choose among the variants. - - -===Overloading of operations=== - -Large libraries, such as the GF Resource Grammar Library, may define -hundreds of names, which can be unpractical -for both the library writer and the user. The writer has to invent longer -and longer names which are not always intuitive, -and the user has to learn or at least be able to find all these names. -A solution to this problem, adopted by languages such as C++, is **overloading**: -the same name can be used for several functions. When such a name is used, the -compiler performs **overload resolution** to find out which of the possible functions -is meant. The resolution is based on the types of the functions: all functions that -have the same name must have different types. - -In C++, functions with the same name can be scattered everywhere in the program. -In GF, they must be grouped together in ``overload`` groups. Here is an example -of an overload group, defining four ways to define nouns in Italian: -``` - oper mkN = overload { - mkN : Str -> N = -- regular nouns - mkN : Str -> Gender -> N = -- regular nouns with unexpected gender - mkN : Str -> Str -> N = -- irregular nouns - mkN : Str -> Str -> Gender -> N = -- irregular nouns with unexpected gender - } -``` -All of the following uses of ``mkN`` are easy to resolve: -``` - lin Pizza = mkN "pizza" ; -- Str -> N - lin Hand = mkN "mano" Fem ; -- Str -> Gender -> N - lin Man = mkN "uomo" "uomini" ; -- Str -> Str -> N -``` - - - - - - - -%--! -==Using the resource grammar library TODO== - -===Coverage=== - -The GF Resource Grammar Library contains grammar rules for -10 languages (in addition, 2 languages are available as incomplete -implementations, and a few more are under construction). Its purpose -is to make these rules available for application programmers, -who can thereby concentrate on the semantic and stylistic -aspects of their grammars, without having to think about -grammaticality. The targeted level of application grammarians -is that of a skilled programmer with -a practical knowledge of the target languages, but without -theoretical knowledge about their grammars. -Such a combination of -skills is typical of programmers who want to localize -software to new languages. - -The current resource languages are -- ``Ara``bic -- ``Cat``alan -- ``Dan``ish -- ``Eng``lish -- ``Fin``nish -- ``Fre``nch -- ``Ger``man -- ``Ita``lian -- ``Nor``wegian -- ``Rus``sian -- ``Spa``nish -- ``Swe``dish - - -The first three letters (``Eng`` etc) are used in grammar module names. -The Arabic and Catalan implementations are still incomplete, but -enough to be used in many applications. - -To give an example application, consider -music playing devices. In the application, -we may have a semantical category ``Kind``, examples -of ``Kind``s being ``Song`` and ``Artist``. In German, for instance, ``Song`` -is linearized into the noun "Lied", but knowing this is not -enough to make the application work, because the noun must be -produced in both singular and plural, and in four different -cases. By using the resource grammar library, it is enough to -write -``` - lin Song = mkN "Lied" "Lieder" neuter -``` -and the eight forms are correctly generated. The resource grammar -library contains a complete set of inflectional paradigms (such as -``mkN`` here), enabling the definition of any lexical items. - -The resource grammar library is not only about inflectional paradigms - it -also has syntax rules. The music player application -might also want to modify songs with properties, such as "American", -"old", "good". The German grammar for adjectival modifications is -particularly complex, because adjectives have to agree in gender, -number, and case, and also depend on what determiner is used -("ein amerikanisches Lied" vs. "das amerikanische Lied"). All this -variation is taken care of by the resource grammar function -``` - fun AdjCN : AP -> CN -> CN -``` -(see the tables in the end of this document for the list of all resource grammar -functions). The resource grammar implementation of the rule adding properties -to kinds is -``` - lin PropKind kind prop = AdjCN prop kind -``` -given that -``` - lincat Prop = AP - lincat Kind = CN -``` -The resource library API is devided into language-specific -and language-independent parts. To put it roughly, -- the lexicon API is language-specific -- the syntax API is language-independent - - -Thus, to render the above example in French instead of German, we need to -pick a different linearization of ``Song``, -``` - lin Song = mkN "chanson" feminine -``` -But to linearize ``PropKind``, we can use the very same rule as in German. -The resource function ``AdjCN`` has different implementations in the two -languages (e.g. a different word order in French), -but the application programmer need not care about the difference. - - -===Note on APIs=== - -From version 1.1 onwards, the resource library is available via two -APIs: -- original ``fun`` and ``oper`` definitions -- overloaded ``oper`` definitions - - -Introducing overloading in GF version 2.7 has been a success in improving -the accessibility of libraries. It has also created a layer of abstraction -between the writers and users of libraries, and thereby makes the library -easier to modify. We shall therefore use the overloaded API -in this document. The original function names are mainly interesting -for those who want to write or modify libraries. - - - -===A complete example=== - -To summarize the example, and also give a template for a programmer to work on, -here is the complete implementation of a small system with songs and properties. -The abstract syntax defines a "domain ontology": -``` - abstract Music = { - cat - Kind, - Property ; - fun - PropKind : Kind -> Property -> Kind ; - Song : Kind ; - American : Property ; - } -``` -The concrete syntax is defined by a functor (parametrized module), -independently of language, by opening -two interfaces: the resource ``Grammar`` and an application lexicon. -``` - incomplete concrete MusicI of Music = open Grammar, MusicLex in { - lincat - Kind = CN ; - Property = AP ; - lin - PropKind k p = AdjCN p k ; - Song = UseN song_N ; - American = PositA american_A ; - } -``` -The application lexicon ``MusicLex`` has an abstract syntax that extends -the resource category system ``Cat``. -``` - abstract MusicLex = Cat ** { - fun - song_N : N ; - american_A : A ; - } -``` -Each language has its own concrete syntax, which opens the -inflectional paradigms module for that language: -``` - concrete MusicLexGer of MusicLex = - CatGer ** open ParadigmsGer in { - lin - song_N = reg2N "Lied" "Lieder" neuter ; - american_A = regA "amerikanisch" ; - } - - concrete MusicLexFre of MusicLex = - CatFre ** open ParadigmsFre in { - lin - song_N = regGenN "chanson" feminine ; - american_A = regA "américain" ; - } -``` -The top-level ``Music`` grammars are obtained by -instantiating the two interfaces of ``MusicI``: -``` - concrete MusicGer of Music = MusicI with - (Grammar = GrammarGer), - (MusicLex = MusicLexGer) ; - - concrete MusicFre of Music = MusicI with - (Grammar = GrammarFre), - (MusicLex = MusicLexFre) ; -``` -Both of these files can use the same ``path``, defined as -``` - --# -path=.:present:prelude -``` -The ``present`` category contains the compiled resources, restricted to -present tense; ``alltenses`` has the full resources. - -To localize the music player system to a new language, -all that is needed is two modules, -one implementing ``MusicLex`` and the other -instantiating ``Music``. The latter is -completely trivial, whereas the former one involves the choice of correct -vocabulary and inflectional paradigms. For instance, Finnish is added as follows: -``` - concrete MusicLexFin of MusicLex = - CatFin ** open ParadigmsFin in { - lin - song_N = regN "kappale" ; - american_A = regA "amerikkalainen" ; - } - - concrete MusicFin of Music = MusicI with - (Grammar = GrammarFin), - (MusicLex = MusicLexFin) ; -``` -More work is of course needed if the language-independent linearizations in -MusicI are not satisfactory for some language. The resource grammar guarantees -that the linearizations are possible in all languages, in the sense of grammatical, -but they might of course be inadequate for stylistic reasons. Assume, -for the sake of argument, that adjectival modification does not sound good in -English, but that a relative clause would be preferrable. One can then start as -before, -``` - concrete MusicLexEng of MusicLex = - CatEng ** open ParadigmsEng in { - lin - song_N = regN "song" ; - american_A = regA "American" ; - } - - concrete MusicEng0 of Music = MusicI with - (Grammar = GrammarEng), - (MusicLex = MusicLexEng) ; -``` -The module ``MusicEng0`` would not be used on the top level, however, but -another module would be built on top of it, with a restricted import from -``MusicEng0``. ``MusicEng`` inherits everything from ``MusicEng0`` -except ``PropKind``, and -gives its own definition of this function: -``` - concrete MusicEng of Music = - MusicEng0 - [PropKind] ** open GrammarEng in { - lin - PropKind k p = - RelCN k (UseRCl TPres ASimul PPos - (RelVP IdRP (UseComp (CompAP p)))) ; - } -``` - -===To find rules in the resource grammar library=== - -====Inflection paradigms==== - -Inflection paradigms are defined separately for each language //L// -in the module ``Paradigms``//L//. To test them, the command -``cc`` (= ``compute_concrete``) -can be used: -``` - > i -retain german/ParadigmsGer.gf - - > cc mkN "Schlange" - { - s : Number => Case => Str = table Number { - Sg => table Case { - Nom => "Schlange" ; - Acc => "Schlange" ; - Dat => "Schlange" ; - Gen => "Schlange" - } ; - Pl => table Case { - Nom => "Schlangen" ; - Acc => "Schlangen" ; - Dat => "Schlangen" ; - Gen => "Schlangen" - } - } ; - g : Gender = Fem - } -``` -For the sake of convenience, every language implements these five paradigms: -``` - oper - mkN : Str -> N ; -- regular nouns - mkA : Str -> A : -- regular adjectives - mkV : Str -> V ; -- regular verbs - mkPN : Str -> PN ; -- regular proper names - mkV2 : V -> V2 ; -- direct transitive verbs -``` -It is often possible to initialize a lexicon by just using these functions, -and later revise it by using the more involved paradigms. For instance, in -German we cannot use ``mkN "Lied"`` for ``Song``, because the result would be a -Masculine noun with the plural form ``"Liede"``. -The individual ``Paradigms`` modules -tell what cases are covered by the regular heuristics. - -As a limiting case, one could even initialize the lexicon for a new language -by copying the English (or some other already existing) lexicon. This would -produce language with correct grammar but with content words directly borrowed from -English - maybe not so strange in certain technical domains. - - - -====Syntax rules==== - -Syntax rules should be looked for in the module ``Constructors``. -Below this top-level module exposing overloaded constructors, -there are around 10 abstract modules, each defining constructors for -a group of one or more related categories. For instance, the module -``Noun`` defines how to construct common nouns, noun phrases, and determiners. -But these special modules are seldom needed by the users of the library. - -TODO: when are they needed? - -Browsing the libraries is helped by the gfdoc-generated HTML pages, -whose LaTeX versions are included in the present document. - - - -====Browsing by the parser==== - -A method alternative to browsing library documentation is -to use the parser. -Even though parsing is not an intended end-user application -of resource grammars, it is a useful technique for application grammarians -to browse the library. To find out which resource function implements -a particular structure, one can just parse a string that exemplifies this -structure. For instance, to find out how sentences are built using -transitive verbs, write -``` - > i english/LangEng.gf - - > p -cat=Cl -fcfg "she loves him" - - PredVP (UsePron she_Pron) (ComplV2 love_V2 (UsePron he_Pron)) -``` -The parser returns original constructors, not overloaded ones. - -Parsing with the English resource grammar has an acceptable speed, but -with most languages it takes just too much resources even to build the -parser. However, examples parsed in one language can always be linearized into -other languages: -``` - > i italian/LangIta.gf - - > l PredVP (UsePron she_Pron) (ComplV2 love_V2 (UsePron he_Pron)) - - lo ama -``` -Therefore, one can use the English parser to write an Italian grammar, and also -to write a language-independent (incomplete) grammar. One can also parse strings -that are bizarre in English but the intended way of expression in another language. -For instance, the phrase for "I am hungry" in Italian is literally "I have hunger". -This can be built by parsing "I have beer" in LanEng and then writing -``` - lin IamHungry = - let beer_N = regGenN "fame" feminine - in - PredVP (UsePron i_Pron) (ComplV2 have_V2 - (DetCN (DetSg MassDet NoOrd) (UseN beer_N))) ; -``` -which uses ParadigmsIta.regGenN. - - - - - -%--! -==More constructs for concrete syntax== - -In this chapter, we go through constructs that are not necessary in simple grammars -or when the concrete syntax relies on libraries, but very useful when writing advanced -concrete syntax implementations, such as resource grammar libraries. - - -%--! -===Local definitions=== - -Local definitions ("``let`` expressions") are used in functional -programming for two reasons: to structure the code into smaller -expressions, and to avoid repeated computation of one and -the same expression. Here is an example, from -[``MorphoIta`` resource/MorphoIta.gf]: -``` - oper regNoun : Str -> Noun = \vino -> - let - vin = init vino ; - o = last vino - in - case o of { - "a" => mkNoun Fem vino (vin + "e") ; - "o" | "e" => mkNoun Masc vino (vin + "i") ; - _ => mkNoun Masc vino vino - } ; -``` - - -===Record extension and subtyping=== - -Record types and records can be **extended** with new fields. For instance, -in German it is natural to see transitive verbs as verbs with a case. -The symbol ``**`` is used for both constructs. -``` - lincat TV = Verb ** {c : Case} ; - - lin Follow = regVerb "folgen" ** {c = Dative} ; -``` -To extend a record type or a record with a field whose label it -already has is a type error. - -A record type //T// is a **subtype** of another one //R//, if //T// has -all the fields of //R// and possibly other fields. For instance, -an extension of a record type is always a subtype of it. - -If //T// is a subtype of //R//, an object of //T// can be used whenever -an object of //R// is required. For instance, a transitive verb can -be used whenever a verb is required. - -**Contravariance** means that a function taking an //R// as argument -can also be applied to any object of a subtype //T//. - - - -===Tuples and product types=== - -Product types and tuples are syntactic sugar for record types and records: -``` - T1 * ... * Tn === {p1 : T1 ; ... ; pn : Tn} - === {p1 = T1 ; ... ; pn = Tn} -``` -Thus the labels ``p1, p2,...`` are hard-coded. - - -===Record and tuple patterns=== - -Record types of parameter types are also parameter types. -A typical example is a record of agreement features, e.g. French -``` - oper Agr : PType = {g : Gender ; n : Number ; p : Person} ; -``` -Notice the term ``PType`` rather than just ``Type`` referring to -parameter types. Every ``PType`` is also a ``Type``, but not vice-versa. - -Pattern matching is done in the expected way, but it can moreover -utilize partial records: the branch -``` - {g = Fem} => t -``` -in a table of type ``Agr => T`` means the same as -``` - {g = Fem ; n = _ ; p = _} => t -``` -Tuple patterns are translated to record patterns in the -same way as tuples to records; partial patterns make it -possible to write, slightly surprisingly, -``` - case of { - => t - ... - } -``` - - -%--! -===Regular expression patterns=== - -To define string operations computed at compile time, such -as in morphology, it is handy to use regular expression patterns: - - //p// ``+`` //q// : token consisting of //p// followed by //q// - - //p// ``*`` : token //p// repeated 0 or more times - (max the length of the string to be matched) - - ``-`` //p// : matches anything that //p// does not match - - //x// ``@`` //p// : bind to //x// what //p// matches - - //p// ``|`` //q// : matches what either //p// or //q// matches - - -The last three apply to all types of patterns, the first two only to token strings. -As an example, we give a rule for the formation of English word forms -ending with an //s// and used in the formation of both plural nouns and -third-person present-tense verbs. -``` - add_s : Str -> Str = \w -> case w of { - _ + "oo" => w + "s" ; -- bamboo - _ + ("s" | "z" | "x" | "sh" | "o") => w + "es" ; -- bus, hero - _ + ("a" | "o" | "u" | "e") + "y" => w + "s" ; -- boy - x + "y" => x + "ies" ; -- fly - _ => w + "s" -- car - } ; -``` -Here is another example, the plural formation in Swedish 2nd declension. -The second branch uses a variable binding with ``@`` to cover the cases where an -unstressed pre-final vowel //e// disappears in the plural -(//nyckel-nycklar, seger-segrar, bil-bilar//): -``` - plural2 : Str -> Str = \w -> case w of { - pojk + "e" => pojk + "ar" ; - nyck + "e" + l@("l" | "r" | "n") => nyck + l + "ar" ; - bil => bil + "ar" - } ; -``` - - -Semantics: variables are always bound to the **first match**, which is the first -in the sequence of binding lists ``Match p v`` defined as follows. In the definition, -``p`` is a pattern and ``v`` is a value. -``` - Match (p1|p2) v = Match p1 v ++ Match p2 v - Match (p1+p2) s = [Match p1 s1 ++ Match p2 s2 | - i <- [0..length s], (s1,s2) = splitAt i s] - Match p* s = [[]] if Match "" s ++ Match p s ++ Match (p+p) s ++... /= [] - Match -p v = [[]] if Match p v = [] - Match c v = [[]] if c == v -- for constant and literal patterns c - Match x v = [[(x,v)]] -- for variable patterns x - Match x@p v = [[(x,v)]] + M if M = Match p v /= [] - Match p v = [] otherwise -- failure -``` -Examples: -- ``x + "e" + y`` matches ``"peter"`` with ``x = "p", y = "ter"`` -- ``x + "er"*`` matches ``"burgerer"`` with ``x = "burg" - - - - - -%--! -===Prefix-dependent choices=== - -Sometimes a token has different forms depending on the token -that follows. An example is the English indefinite article, -which is //an// if a vowel follows, //a// otherwise. -Which form is chosen can only be decided at run time, i.e. -when a string is actually build. GF has a special construct for -such tokens, the ``pre`` construct exemplified in -``` - oper artIndef : Str = - pre {"a" ; "an" / strs {"a" ; "e" ; "i" ; "o"}} ; -``` -Thus -``` - artIndef ++ "cheese" ---> "a" ++ "cheese" - artIndef ++ "apple" ---> "an" ++ "apple" -``` -This very example does not work in all situations: the prefix -//u// has no general rules, and some problematic words are -//euphemism, one-eyed, n-gram//. It is possible to write -``` - oper artIndef : Str = - pre {"a" ; - "a" / strs {"eu" ; "one"} ; - "an" / strs {"a" ; "e" ; "i" ; "o" ; "n-"} - } ; -``` - - -===Predefined types and operations=== - -GF has the following predefined categories in abstract syntax: -``` - cat Int ; -- integers, e.g. 0, 5, 743145151019 - cat Float ; -- floats, e.g. 0.0, 3.1415926 - cat String ; -- strings, e.g. "", "foo", "123" -``` -The objects of each of these categories are **literals** -as indicated in the comments above. No ``fun`` definition -can have a predefined category as its value type, but -they can be used as arguments. For example: -``` - fun StreetAddress : Int -> String -> Address ; - lin StreetAddress number street = {s = number.s ++ street.s} ; - - -- e.g. (StreetAddress 10 "Downing Street") : Address -``` -FIXME: The linearization type is ``{s : Str}`` for all these categories. - - - - -==More concepts of abstract syntax== - -This section is about the use of the type theory part of GF for -including more semantics in grammars. Some of the subsections present -ideas that have not yet been used in real-world applications, and whose -tool support outside the GF program is not complete. - - -===GF as a logical framework=== - -In this section, we will show how -to encode advanced semantic concepts in an abstract syntax. -We use concepts inherited from **type theory**. Type theory -is the basis of many systems known as **logical frameworks**, which are -used for representing mathematical theorems and their proofs on a computer. -In fact, GF has a logical framework as its proper part: -this part is the abstract syntax. - -In a logical framework, the formalization of a mathematical theory -is a set of type and function declarations. The following is an example -of such a theory, represented as an ``abstract`` module in GF. -``` -abstract Arithm = { - cat - Prop ; -- proposition - Nat ; -- natural number - fun - Zero : Nat ; -- 0 - Succ : Nat -> Nat ; -- successor of x - Even : Nat -> Prop ; -- x is even - And : Prop -> Prop -> Prop ; -- A and B - } -``` -A concrete syntax is given below, as an example of using the resource grammar -library. - - - -===Dependent types=== - -**Dependent types** are a characteristic feature of GF, -inherited from the -**constructive type theory** of Martin-Löf and -distinguishing GF from most other grammar formalisms and -functional programming languages. -The initial main motivation for developing GF was, indeed, -to have a grammar formalism with dependent types. -As can be inferred from the fact that we introduce them only now, -after having written lots of grammars without them, -dependent types are no longer the only motivation for GF. -But they are still important and interesting. - - -Dependent types can be used for stating stronger -**conditions of well-formedness** than non-dependent types. -A simple example is postal addresses. Ignoring the other details, -let us take a look at addresses consisting of -a street, a city, and a country. -``` -abstract Address = { - cat - Address ; Country ; City ; Street ; - - fun - mkAddress : Country -> City -> Street -> Address ; - - UK, France : Country ; - Paris, London, Grenoble : City ; - OxfordSt, ShaftesburyAve, BdRaspail, RueBlondel, AvAlsaceLorraine : Street ; - } -``` -The linearization rules are straightforward, -``` - lin - mkAddress country city street = - ss (street.s ++ "," ++ city.s ++ "," ++ country.s) ; - UK = ss ("U.K.") ; - France = ss ("France") ; - Paris = ss ("Paris") ; - London = ss ("London") ; - Grenoble = ss ("Grenoble") ; - OxfordSt = ss ("Oxford" ++ "Street") ; - ShaftesburyAve = ss ("Shaftesbury" ++ "Avenue") ; - BdRaspail = ss ("boulevard" ++ "Raspail") ; - RueBlondel = ss ("rue" ++ "Blondel") ; - AvAlsaceLorraine = ss ("avenue" ++ "Alsace-Lorraine") ; -``` -Notice that, in ``mkAddress``, we have -reversed the order of the constituents. The type of ``mkAddress`` -in the abstract syntax takes its arguments in a "logical" order, -with increasing precision. (This order is sometimes even used in the -concrete syntax of addresses, e.g. in Russia). - -Both existing and non-existing addresses are recognized by this -grammar. The non-existing ones in the following randomly generated -list have afterwards been marked by *: -``` - > gr -cat=Address -number=7 | l - - * Oxford Street , Paris , France - * Shaftesbury Avenue , Grenoble , U.K. - boulevard Raspail , Paris , France - * rue Blondel , Grenoble , U.K. - * Shaftesbury Avenue , Grenoble , France - * Oxford Street , London , France - * Shaftesbury Avenue , Grenoble , France -``` -Dependent types provide a way to guarantee that addresses are -well-formed. What we do is to include **contexts** in -``cat`` judgements: -``` - cat - Address ; - Country ; - City Country ; - Street (x : Country)(City x) ; -``` -The first two judgements are as before, but the third one makes -``City`` dependent on ``Country``: there are no longer just cities, -but cities of the U.K. and cities of France. The fourth judgement -makes ``Street`` dependent on ``City``; but since -``City`` is itself dependent on ``Country``, we must -include them both in the context, moreover guaranteeing that -the city is one of the given country. Since the context itself -is built by using a dependent type, we have to use variables -to indicate the dependencies. The judgement we used for ``City`` -is actually shorthand for -``` - cat City (x : Country) -``` -which is only possible if the subsequent context does not depend on ``x``. - -The ``fun`` judgements of the grammar are modified accordingly: -``` - fun - mkAddress : (x : Country) -> (y : City x) -> Street x y -> Address ; - - UK : Country ; - France : Country ; - Paris : City France ; - London : City UK ; - Grenoble : City France ; - OxfordSt : Street UK London ; - ShaftesburyAve : Street UK London ; - BdRaspail : Street France Paris ; - RueBlondel : Street France Paris ; - AvAlsaceLorraine : Street France Grenoble ; -``` -Since the type of ``mkAddress`` now has dependencies among -its argument types, we have to use variables just like we used in -the context of ``Street`` above. What we claimed to be the -"logical" order of the arguments is now forced by the type system -of GF: a variable must be declared (=bound) before it can be -referenced (=used). - -The effect of dependent types is that the *-marked addresses above are -no longer well-formed. What the GF parser actually does is that it -initially accepts them (by using a context-free parsing algorithm) -and then rejects them (by type checking). The random generator does not produce -illegal addresses (this could be useful in bulk mailing!). -The linearization algorithm does not care about type dependencies; -actually, since the //categories// (ignoring their arguments) -are the same in both abstract syntaxes, -we use the same concrete syntax -for both of them. - -**Remark**. Function types //without// -variables are actually a shorthand notation: writing -``` - fun PredV1 : NP -> V1 -> S -``` -is shorthand for -``` - fun PredV1 : (x : NP) -> (y : V1) -> S -``` -or any other naming of the variables. Actually the use of variables -sometimes shortens the code, since we can write e.g. -``` - oper triple : (x,y,z : Str) -> Str = ... -``` -If a bound variable is not used, it can here, as elswhere in GF, be replaced by -a wildcard: -``` - oper triple : (_,_,_ : Str) -> Str = ... -``` - - - -===Dependent types in concrete syntax=== - -The **functional fragment** of GF -terms and types comprises function types, applications, lambda -abstracts, constants, and variables. This fragment is similar in -abstract and concrete syntax. In particular, -dependent types are also available in concrete syntax. -We have not made use of them yet, -but we will now look at one example of how they -can be used. - -Those readers who are familiar with functional programming languages -like ML and Haskell, may already have missed **polymorphic** -functions. For instance, Haskell programmers have access to -the functions -``` - const :: a -> b -> a - const c _ = c - - flip :: (a -> b -> c) -> b -> a -> c - flip f y x = f x y -``` -which can be used for any given types ``a``,``b``, and ``c``. - -The GF counterpart of polymorphic functions are **monomorphic** -functions with explicit **type variables**. Thus the above -definitions can be written -``` - oper const :(a,b : Type) -> a -> b -> a = - \_,_,c,_ -> c ; - - oper flip : (a,b,c : Type) -> (a -> b ->c) -> b -> a -> c = - \_,_,_,f,x,y -> f y x ; -``` -When the operations are used, the type checker requires -them to be equipped with all their arguments; this may be a nuisance -for a Haskell or ML programmer. - - - -===Expressing selectional restrictions=== - -This section introduces a way of using dependent types to -formalize a notion known as **selectional restrictions** -in linguistics. We first present a mathematical model -of the notion, and then integrate it in a linguistically -motivated syntax. - -In linguistics, a -grammar is usually thought of as being about **syntactic well-formedness** -in a rather liberal sense: an expression can be well-formed without -being meaningful, in other words, without being -**semantically well-formed**. -For instance, the sentence -``` - the number 2 is equilateral -``` -is syntactically well-formed but semantically ill-formed. -It is well-formed because it combines a well-formed -noun phrase ("the number 2") with a well-formed -verb phrase ("is equilateral") and satisfies the agreement -rule saying that the verb phrase is inflected in the -number of the noun phrase: -``` - fun PredVP : NP -> VP -> S ; - lin PredVP np v = {s = np.s ++ vp.s ! np.n} ; -``` -It is ill-formed because the predicate "is equilateral" -is only defined for triangles, not for numbers. - -In a straightforward type-theoretical formalization of -mathematics, domains of mathematical objects -are defined as types. In GF, we could write -``` - cat Nat ; - cat Triangle ; - cat Prop ; -``` -for the types of natural numbers, triangles, and propositions, -respectively. -Noun phrases are typed as objects of basic types other than -``Prop``, whereas verb phrases are functions from basic types -to ``Prop``. For instance, -``` - fun two : Nat ; - fun Even : Nat -> Prop ; - fun Equilateral : Triangle -> Prop ; -``` -With these judgements, and the linearization rules -``` - lin two = ss ["the number 2"] ; - lin Even x = ss (x.s ++ ["is even"]) ; - lin Equilateral x = ss (x.s ++ ["is equilateral"]) ; -``` -we can form the proposition ``Even two`` -``` - the number 2 is even -``` -but no proposition linearized to -``` - the number 2 is equilateral -``` -since ``Equilateral two`` is not a well-formed type-theoretical object. -It is not even accepted by the context-free parser. - -When formalizing mathematics, e.g. in the purpose of -computer-assisted theorem proving, we are certainly interested -in semantic well-formedness: we want to be sure that a proposition makes -sense before we make the effort of proving it. The straightforward typing -of nouns and predicates shown above is the way in which this -is guaranteed in various proof systems based on type theory. -(Notice that it is still possible to form //false// propositions, -e.g. "the number 3 is even". -False and meaningless are different things.) - -As shown by the linearization rules for ``two``, ``Even``, -etc, it //is// possible to use straightforward mathematical typings -as the abstract syntax of a grammar. However, this syntax is not very -expressive linguistically: for instance, there is no distinction between -adjectives and verbs. It is hard to give rules for structures like -adjectival modification ("even number") and conjunction of predicates -("even or odd"). - -By using dependent types, it is simple to combine a linguistically -motivated system of categories with mathematically motivated -type restrictions. What we need is a category of domains of -individual objects, -``` - cat Dom -``` -and dependencies of other categories on this: -``` - cat - S ; -- sentence - V1 Dom ; -- one-place verb with specific subject type - V2 Dom Dom ; -- two-place verb with specific subject and object types - A1 Dom ; -- one-place adjective - A2 Dom Dom ; -- two-place adjective - NP Dom ; -- noun phrase for an object of specific type - Conj ; -- conjunction - Det ; -- determiner -``` -Having thus parametrized categories on domains, we have to reformulate -the rules of predication, etc, accordingly. This is straightforward: -``` - fun - PredV1 : (A : Dom) -> NP A -> V1 A -> S ; - ComplV2 : (A,B : Dom) -> V2 A B -> NP B -> V1 A ; - DetCN : Det -> (A : Dom) -> NP A ; - ModA1 : (A : Dom) -> A1 A -> Dom ; - ConjS : Conj -> S -> S -> S ; - ConjV1 : (A : Dom) -> Conj -> V1 A -> V1 A -> V1 A ; -``` -In linearization rules, -we use wildcards for the domain arguments, -because they don't affect linearization: -``` - lin - PredV1 _ np vp = ss (np.s ++ vp.s) ; - ComplV2 _ _ v2 np = ss (v2.s ++ np.s) ; - DetCN det cn = ss (det.s ++ cn.s) ; - ModA1 cn a1 = ss (a1.s ++ cn.s) ; - ConjS conj s1 s2 = ss (s1.s ++ conj.s ++ s2.s) ; - ConjV1 _ conj v1 v2 = ss (v1.s ++ conj.s ++ v2.s) ; -``` -The domain arguments thus get suppressed in linearization. -Parsing initially returns metavariables for them, -but type checking can usually restore them -by inference from those arguments that are not suppressed. - -One traditional linguistic example of domain restrictions -(= selectional restrictions) is the contrast between the two sentences -``` - John plays golf - golf plays John -``` -To explain the contrast, we introduce the functions -``` - human : Dom ; - game : Dom ; - play : V2 human game ; - John : NP human ; - Golf : NP game ; -``` -Both sentences still pass the context-free parser, -returning trees with lots of metavariables of type ``Dom``: -``` - PredV1 ?0 John (ComplV2 ?1 ?2 play Golf) - PredV1 ?0 Golf (ComplV2 ?1 ?2 play John) -``` -But only the former sentence passes the type checker, which moreover -infers the domain arguments: -``` - PredV1 human John (ComplV2 human game play Golf) -``` -To try this out in GF, use ``pt = put_term`` with the **tree transformation** -that solves the metavariables by type checking: -``` - > p -tr "John plays golf" | pt -transform=solve - > p -tr "golf plays John" | pt -transform=solve -``` -In the latter case, no solutions are found. - -A known problem with selectional restrictions is that they can be more -or less liberal. For instance, -``` - John loves Mary - John loves golf -``` -should both make sense, even though ``Mary`` and ``golf`` -are of different types. A natural solution in this case is to -formalize ``love`` as a **polymorphic** verb, which takes -a human as its first argument but an object of any type as its second -argument: -``` - fun love : (A : Dom) -> V2 human A ; - lin love _ = ss "loves" ; -``` -In other words, it is possible for a human to love anything. - -A problem related to polymorphism is **subtyping**: what -is meaningful for a ``human`` is also meaningful for -a ``man`` and a ``woman``, but not the other way round. -One solution to this is **coercions**: functions that -"lift" objects from subtypes to supertypes. - - -===Case study: selectional restrictions and statistical language models TODO=== - - -===Proof objects=== - -Perhaps the most well-known idea in constructive type theory is -the **Curry-Howard isomorphism**, also known as the -**propositions as types principle**. Its earliest formulations -were attempts to give semantics to the logical systems of -propositional and predicate calculus. In this section, we will consider -a more elementary example, showing how the notion of proof is useful -outside mathematics, as well. - -We first define the category of unary (also known as Peano-style) -natural numbers: -``` - cat Nat ; - fun Zero : Nat ; - fun Succ : Nat -> Nat ; -``` -The **successor function** ``Succ`` generates an infinite -sequence of natural numbers, beginning from ``Zero``. - -We then define what it means for a number //x// to be //less than// -a number //y//. Our definition is based on two axioms: -- ``Zero`` is less than ``Succ`` //y// for any //y//. -- If //x// is less than //y//, then``Succ`` //x// is less than ``Succ`` //y//. - - -The most straightforward way of expressing these axioms in type theory -is as typing judgements that introduce objects of a type ``Less`` //x y //: -``` - cat Less Nat Nat ; - fun lessZ : (y : Nat) -> Less Zero (Succ y) ; - fun lessS : (x,y : Nat) -> Less x y -> Less (Succ x) (Succ y) ; -``` -Objects formed by ``lessZ`` and ``lessS`` are -called **proof objects**: they establish the truth of certain -mathematical propositions. -For instance, the fact that 2 is less that -4 has the proof object -``` - lessS (Succ Zero) (Succ (Succ (Succ Zero))) - (lessS Zero (Succ (Succ Zero)) (lessZ (Succ Zero))) -``` -whose type is -``` - Less (Succ (Succ Zero)) (Succ (Succ (Succ (Succ Zero)))) -``` -which is the formalization of the proposition that 2 is less than 4. - -GF grammars can be used to provide a **semantic control** of -well-formedness of expressions. We have already seen examples of this: -the grammar of well-formed addresses and the grammar with -selectional restrictions above. By introducing proof objects -we have now added a very powerful technique of expressing semantic conditions. - -A simple example of the use of proof objects is the definition of -well-formed //time spans//: a time span is expected to be from an earlier to -a later time: -``` - from 3 to 8 -``` -is thus well-formed, whereas -``` - from 8 to 3 -``` -is not. The following rules for spans impose this condition -by using the ``Less`` predicate: -``` - cat Span ; - fun span : (m,n : Nat) -> Less m n -> Span ; -``` -A possible practical application of this idea is **proof-carrying documents**: -to be semantically well-formed, the abstract syntax of a document must contain a proof -of some property, although the proof is not shown in the concrete document. -Think, for instance, of small documents describing flight connections: - -//To fly from Gothenburg to Prague, first take LH3043 to Frankfurt, then OK0537 to Prague.// - -The well-formedness of this text is partly expressible by dependent typing: -``` - cat - City ; - Flight City City ; - fun - Gothenburg, Frankfurt, Prague : City ; - LH3043 : Flight Gothenburg Frankfurt ; - OK0537 : Flight Frankfurt Prague ; -``` -This rules out texts saying //take OK0537 from Gothenburg to Prague//. However, there is a -further condition saying that it must be possible to change from LH3043 to OK0537 in Frankfurt. -This can be modelled as a proof object of a suitable type, which is required by the constructor -that connects flights. -``` - cat - IsPossible (x,y,z : City)(Flight x y)(Flight y z) ; - fun - Connect : (x,y,z : City) -> - (u : Flight x y) -> (v : Flight y z) -> - IsPossible x y z u v -> Flight x z ; -``` - - - -===Variable bindings=== - -Mathematical notation and programming languages have lots of -expressions that **bind** variables. For instance, -a universally quantifier proposition -``` - (All x)B(x) -``` -consists of the **binding** ``(All x)`` of the variable ``x``, -and the **body** ``B(x)``, where the variable ``x`` can have -**bound occurrences**. - -Variable bindings appear in informal mathematical language as well, for -instance, -``` - for all x, x is equal to x - - the function that for any numbers x and y returns the maximum of x+y - and x*y -``` -In type theory, variable-binding expression forms can be formalized -as functions that take functions as arguments. The universal -quantifier is defined -``` - fun All : (Ind -> Prop) -> Prop -``` -where ``Ind`` is the type of individuals and ``Prop``, -the type of propositions. If we have, for instance, the equality predicate -``` - fun Eq : Ind -> Ind -> Prop -``` -we may form the tree -``` - All (\x -> Eq x x) -``` -which corresponds to the ordinary notation -``` - (All x)(x = x). -``` - - -An abstract syntax where trees have functions as arguments, as in -the two examples above, has turned out to be precisely the right -thing for the semantics and computer implementation of -variable-binding expressions. The advantage lies in the fact that -only one variable-binding expression form is needed, the lambda abstract -``\x -> b``, and all other bindings can be reduced to it. -This makes it easier to implement mathematical theories and reason -about them, since variable binding is tricky to implement and -to reason about. The idea of using functions as arguments of -syntactic constructors is known as **higher-order abstract syntax**. - -The question now arises: how to define linearization rules -for variable-binding expressions? -Let us first consider universal quantification, -``` - fun All : (Ind -> Prop) -> Prop -``` -We write -``` - lin All B = {s = "(" ++ "All" ++ B.$0 ++ ")" ++ B.s} -``` -to obtain the form shown above. -This linearization rule brings in a new GF concept - the ``$0`` -field of ``B`` containing a bound variable symbol. -The general rule is that, if an argument type of a function is -itself a function type ``A -> C``, the linearization type of -this argument is the linearization type of ``C`` -together with a new field ``$0 : Str``. In the linearization rule -for ``All``, the argument ``B`` thus has the linearization -type -``` - {$0 : Str ; s : Str}, -``` -since the linearization type of ``Prop`` is -``` - {s : Str} -``` -In other words, the linearization of a function -consists of a linearization of the body together with a -field for a linearization of the bound variable. -Those familiar with type theory or lambda calculus -should notice that GF requires trees to be in -**eta-expanded** form in order to be linearizable: -any function of type -``` - A -> B -``` -always has a syntax tree of the form -``` - \x -> b -``` -where ``b : B`` under the assumption ``x : A``. -It is in this form that an expression can be analysed -as having a bound variable and a body. - - -Given the linearization rule -``` - lin Eq a b = {s = "(" ++ a.s ++ "=" ++ b.s ++ ")"} -``` -the linearization of -``` - \x -> Eq x x -``` -is the record -``` - {$0 = "x", s = ["( x = x )"]} -``` -Thus we can compute the linearization of the formula, -``` - All (\x -> Eq x x) --> {s = "[( All x ) ( x = x )]"}. -``` - -How did we get the //linearization// of the variable ``x`` -into the string ``"x"``? GF grammars have no rules for -this: it is just hard-wired in GF that variable symbols are -linearized into the same strings that represent them in -the print-out of the abstract syntax. - - -To be able to //parse// variable symbols, however, GF needs to know what -to look for (instead of e.g. trying to parse //any// -string as a variable). What strings are parsed as variable symbols -is defined in the lexical analysis part of GF parsing -``` - > p -cat=Prop -lexer=codevars "(All x)(x = x)" - All (\x -> Eq x x) -``` -(see more details on lexers below). If several variables are bound in the -same argument, the labels are ``$0, $1, $2``, etc. - - - -===Semantic definitions=== - -We have seen that, -just like functional programming languages, GF has declarations -of functions, telling what the type of a function is. -But we have not yet shown how to **compute** -these functions: all we can do is provide them with arguments -and linearize the resulting terms. -Since our main interest is the well-formedness of expressions, -this has not yet bothered -us very much. As we will see, however, computation does play a role -even in the well-formedness of expressions when dependent types are -present. - -GF has a form of judgement for **semantic definitions**, -recognized by the key word ``def``. At its simplest, it is just -the definition of one constant, e.g. -``` - def one = Succ Zero ; -``` -We can also define a function with arguments, -``` - def Neg A = Impl A Abs ; -``` -which is still a special case of the most general notion of -definition, that of a group of **pattern equations**: -``` - def - sum x Zero = x ; - sum x (Succ y) = Succ (Sum x y) ; -``` -To compute a term is, as in functional programming languages, -simply to follow a chain of reductions until no definition -can be applied. For instance, we compute -``` - Sum one one --> - Sum (Succ Zero) (Succ Zero) --> - Succ (sum (Succ Zero) Zero) --> - Succ (Succ Zero) -``` -Computation in GF is performed with the ``pt`` command and the -``compute`` transformation, e.g. -``` - > p -tr "1 + 1" | pt -transform=compute -tr | l - sum one one - Succ (Succ Zero) - s(s(0)) -``` - -The ``def`` definitions of a grammar induce a notion of -**definitional equality** among trees: two trees are -definitionally equal if they compute into the same tree. -Thus, trivially, all trees in a chain of computation -(such as the one above) -are definitionally equal to each other. So are the trees -``` - sum Zero (Succ one) - Succ one - sum (sum Zero Zero) (sum (Succ Zero) one) -``` -and infinitely many other trees. - -A fact that has to be emphasized about ``def`` definitions is that -they are //not// performed as a first step of linearization. -We say that **linearization is intensional**, which means that -the definitional equality of two trees does not imply that -they have the same linearizations. For instance, each of the seven terms -shown above has a different linearizations in arithmetic notation: -``` - 1 + 1 - s(0) + s(0) - s(s(0) + 0) - s(s(0)) - 0 + s(0) - s(1) - 0 + 0 + s(0) + 1 -``` -This notion of intensionality is -no more exotic than the intensionality of any **pretty-printing** -function of a programming language (function that shows -the expressions of the language as strings). It is vital for -pretty-printing to be intensional in this sense - if we want, -for instance, to trace a chain of computation by pretty-printing each -intermediate step, what we want to see is a sequence of different -expression, which are definitionally equal. - -What is more exotic is that GF has two ways of referring to the -abstract syntax objects. In the concrete syntax, the reference is intensional. -In the abstract syntax, the reference is extensional, since -**type checking is extensional**. The reason is that, -in the type theory with dependent types, types may depend on terms. -Two types depending on terms that are definitionally equal are -equal types. For instance, -``` - Proof (Odd one) - Proof (Odd (Succ Zero)) -``` -are equal types. Hence, any tree that type checks as a proof that -1 is odd also type checks as a proof that the successor of 0 is odd. -(Recall, in this connection, that the -arguments a category depends on never play any role -in the linearization of trees of that category, -nor in the definition of the linearization type.) - -In addition to computation, definitions impose a -**paraphrase** relation on expressions: -two strings are paraphrases if they -are linearizations of trees that are -definitionally equal. -Paraphrases are sometimes interesting for -translation: the **direct translation** -of a string, which is the linearization of the same tree -in the targer language, may be inadequate because it is e.g. -unidiomatic or ambiguous. In such a case, -the translation algorithm may be made to consider -translation by a paraphrase. - -To stress express the distinction between -**constructors** (=**canonical** functions) -and other functions, GF has a judgement form -``data`` to tell that certain functions are canonical, e.g. -``` - data Nat = Succ | Zero ; -``` -Unlike in Haskell, but similarly to ALF (where constructor functions -are marked with a flag ``C``), -new constructors can be added to -a type with new ``data`` judgements. The type signatures of constructors -are given separately, in ordinary ``fun`` judgements. -One can also write directly -``` - data Succ : Nat -> Nat ; -``` -which is equivalent to the two judgements -``` - fun Succ : Nat -> Nat ; - data Nat = Succ ; -``` - - -===Case study: representing anaphoric reference TODO=== - - -==Transfer modules TODO== - -Transfer means noncompositional tree-transforming operations. -The command ``apply_transfer = at`` is typically used in a pipe: -``` - > p "John walks and John runs" | apply_transfer aggregate | l - John walks and runs -``` -See the -[sources ../../transfer/examples/aggregation] of this example. - -See the -[transfer language documentation ../transfer.html] -for more information. - - -==Practical issues TODO== - - -===Lexers and unlexers=== - -Lexers and unlexers can be chosen from -a list of predefined ones, using the flags``-lexer`` and `` -unlexer`` either -in the grammar file or on the GF command line. - -Given by ``help -lexer``, ``help -unlexer``: -``` - The default is words. - -lexer=words tokens are separated by spaces or newlines - -lexer=literals like words, but GF integer and string literals recognized - -lexer=vars like words, but "x","x_...","$...$" as vars, "?..." as meta - -lexer=chars each character is a token - -lexer=code use Haskell's lex - -lexer=codevars like code, but treat unknown words as variables, ?? as meta - -lexer=text with conventions on punctuation and capital letters - -lexer=codelit like code, but treat unknown words as string literals - -lexer=textlit like text, but treat unknown words as string literals - -lexer=codeC use a C-like lexer - -lexer=ignore like literals, but ignore unknown words - -lexer=subseqs like ignore, but then try all subsequences from longest - - The default is unwords. - -unlexer=unwords space-separated token list (like unwords) - -unlexer=text format as text: punctuation, capitals, paragraph

- -unlexer=code format as code (spacing, indentation) - -unlexer=textlit like text, but remove string literal quotes - -unlexer=codelit like code, but remove string literal quotes - -unlexer=concat remove all spaces - -unlexer=bind like identity, but bind at "&+" -``` - - -===Efficiency of grammars=== - -Issues: - -- the choice of datastructures in ``lincat``s -- the value of the ``optimize`` flag -- parsing efficiency: ``-fcfg`` vs. others - - -===Speech input and output=== - -The``speak_aloud = sa`` command sends a string to the speech -synthesizer -[Flite http://www.speech.cs.cmu.edu/flite/doc/]. -It is typically used via a pipe: -``` generate_random | linearize | speak_aloud -The result is only satisfactory for English. - -The ``speech_input = si`` command receives a string from a -speech recognizer that requires the installation of -[ATK http://mi.eng.cam.ac.uk/~sjy/software.htm]. -It is typically used to pipe input to a parser: -``` speech_input -tr | parse -The method words only for grammars of English. - -Both Flite and ATK are freely available through the links -above, but they are not distributed together with GF. - - -===Multilingual syntax editor=== - -The -[Editor User Manual http://www.cs.chalmers.se/~aarne/GF2.0/doc/javaGUImanual/javaGUImanual.htm] -describes the use of the editor, which works for any multilingual GF grammar. - -Here is a snapshot of the editor: - -[../quick-editor.png] - -The grammars of the snapshot are from the -[Letter grammar package http://www.cs.chalmers.se/~aarne/GF/examples/letter]. - - - -===Interactive Development Environment (IDE)=== - -Forthcoming. - - -===Communicating with GF=== - -Other processes can communicate with the GF command interpreter, -and also with the GF syntax editor. Useful flags when invoking GF are -- ``-batch`` suppresses the promps and structures the communication with XML tags. -- ``-s`` suppresses non-output non-error messages and XML tags. --- ``-nocpu`` suppresses CPU time indication. - -Thus the most silent way to invoke GF is -``` - gf -batch -s -nocpu -``` - - - -===Embedded grammars in Haskell, Java, and Prolog=== - -GF grammars can be used as parts of programs written in the -following languages. The links give more documentation. - -- [Java http://www.cs.chalmers.se/~bringert/gf/gf-java.html] -- [Haskell http://www.cs.chalmers.se/~aarne/GF/src/GF/Embed/EmbedAPI.hs] -- [Prolog http://www.cs.chalmers.se/~peb/software.html] - - -===Alternative input and output grammar formats=== - -A summary is given in the following chart of GF grammar compiler phases: -[../gf-compiler.png] - - -==Larger case studies TODO== - -===Interfacing formal and natural languages=== - -[Formal and Informal Software Specifications http://www.cs.chalmers.se/~krijo/thesis/thesisA4.pdf], -PhD Thesis by -[Kristofer Johannisson http://www.cs.chalmers.se/~krijo], is an extensive example of this. -The system is based on a multilingual grammar relating the formal language OCL with -English and German. - -A simpler example will be explained here. - - -===A multimodal dialogue system=== - -See TALK project deliverables, [TALK homepage http://www.talk-project.org] - diff --git a/doc/tutorial/music/Music.gf b/doc/tutorial/music/Music.gf deleted file mode 100644 index 23defb7a6..000000000 --- a/doc/tutorial/music/Music.gf +++ /dev/null @@ -1,12 +0,0 @@ - abstract Music = { - - flags startcat=Kind ; - - cat - Kind ; - Property ; - fun - PropKind : Kind -> Property -> Kind ; - Song : Kind ; - American : Property ; -} \ No newline at end of file diff --git a/doc/tutorial/music/MusicEng.gf b/doc/tutorial/music/MusicEng.gf deleted file mode 100644 index 60f7b31d4..000000000 --- a/doc/tutorial/music/MusicEng.gf +++ /dev/null @@ -1,11 +0,0 @@ ---# -path=.:present:api:prelude - - concrete MusicEng of Music = - MusicI - [PropKind] - with - (Syntax = SyntaxEng), - (MusicLex = MusicLexEng) ** - open SyntaxEng in { - lin - PropKind k p = mkCN k (mkRS (mkRCl which_RP (mkVP p))) ; - } diff --git a/doc/tutorial/music/MusicFin.gf b/doc/tutorial/music/MusicFin.gf deleted file mode 100644 index 2ced47d78..000000000 --- a/doc/tutorial/music/MusicFin.gf +++ /dev/null @@ -1,5 +0,0 @@ ---# -path=.:present:prelude - - concrete MusicFin of Music = MusicI with - (Syntax = SyntaxFin), - (MusicLex = MusicLexFin) ; diff --git a/doc/tutorial/music/MusicFre.gf b/doc/tutorial/music/MusicFre.gf deleted file mode 100644 index 69e85a119..000000000 --- a/doc/tutorial/music/MusicFre.gf +++ /dev/null @@ -1,6 +0,0 @@ ---# -path=.:present:prelude - - - concrete MusicFre of Music = MusicI with - (Syntax = SyntaxFre), - (MusicLex = MusicLexFre) ; diff --git a/doc/tutorial/music/MusicGer.gf b/doc/tutorial/music/MusicGer.gf deleted file mode 100644 index 75621a25a..000000000 --- a/doc/tutorial/music/MusicGer.gf +++ /dev/null @@ -1,6 +0,0 @@ ---# -path=.:present:api:prelude - - concrete MusicGer of Music = MusicI with - (Syntax = SyntaxGer), - (MusicLex = MusicLexGer) ; - diff --git a/doc/tutorial/music/MusicI.gf b/doc/tutorial/music/MusicI.gf deleted file mode 100644 index 54a6a6c37..000000000 --- a/doc/tutorial/music/MusicI.gf +++ /dev/null @@ -1,9 +0,0 @@ - incomplete concrete MusicI of Music = open Syntax, MusicLex in { - lincat - Kind = CN ; - Property = AP ; - lin - PropKind k p = mkCN p k ; - Song = mkCN song_N ; - American = mkAP american_A ; - } diff --git a/doc/tutorial/music/MusicLex.gf b/doc/tutorial/music/MusicLex.gf deleted file mode 100644 index 87a670698..000000000 --- a/doc/tutorial/music/MusicLex.gf +++ /dev/null @@ -1,5 +0,0 @@ - abstract MusicLex = Cat ** { - fun - song_N : N ; - american_A : A ; - } diff --git a/doc/tutorial/music/MusicLexEng.gf b/doc/tutorial/music/MusicLexEng.gf deleted file mode 100644 index 8aef6b6c5..000000000 --- a/doc/tutorial/music/MusicLexEng.gf +++ /dev/null @@ -1,5 +0,0 @@ - concrete MusicLexEng of MusicLex = CatEng ** open ParadigmsEng in { - lin - song_N = mkN "song" "songs" ; - american_A = mkA "American" ; - } \ No newline at end of file diff --git a/doc/tutorial/music/MusicLexFin.gf b/doc/tutorial/music/MusicLexFin.gf deleted file mode 100644 index 4e438092e..000000000 --- a/doc/tutorial/music/MusicLexFin.gf +++ /dev/null @@ -1,7 +0,0 @@ - concrete MusicLexFin of MusicLex = - CatFin ** open ParadigmsFin in { - lin - song_N = mkN "kappale" ; - american_A = mkA "amerikkalainen" ; - } - diff --git a/doc/tutorial/music/MusicLexFre.gf b/doc/tutorial/music/MusicLexFre.gf deleted file mode 100644 index e09368a5c..000000000 --- a/doc/tutorial/music/MusicLexFre.gf +++ /dev/null @@ -1,6 +0,0 @@ - concrete MusicLexFre of MusicLex = CatFre ** open ParadigmsFre in { - - lin - song_N = mkN "chanson" feminine ; - american_A = mkA "américain" ; - } diff --git a/doc/tutorial/music/MusicLexGer.gf b/doc/tutorial/music/MusicLexGer.gf deleted file mode 100644 index 8d0974a77..000000000 --- a/doc/tutorial/music/MusicLexGer.gf +++ /dev/null @@ -1,6 +0,0 @@ - concrete MusicLexGer of MusicLex = - CatGer ** open ParadigmsGer in { - lin - song_N = mkN "Lied" "Lieder" neuter ; - american_A = mkA "amerikanisch" ; - } diff --git a/doc/tutorial/music/old/Music.gf b/doc/tutorial/music/old/Music.gf deleted file mode 100644 index e662bc70e..000000000 --- a/doc/tutorial/music/old/Music.gf +++ /dev/null @@ -1,9 +0,0 @@ - abstract Music = { - cat - Kind ; - Property ; - fun - PropKind : Kind -> Property -> Kind ; - Song : Kind ; - American : Property ; -} \ No newline at end of file diff --git a/doc/tutorial/music/old/MusicEng.gf b/doc/tutorial/music/old/MusicEng.gf deleted file mode 100644 index 1339ab757..000000000 --- a/doc/tutorial/music/old/MusicEng.gf +++ /dev/null @@ -1,7 +0,0 @@ ---# -path=.:present:prelude - - concrete MusicEng of Music = MusicEng0 - [PropKind] ** open GrammarEng in { - lin - PropKind k p = - RelCN k (UseRCl TPres ASimul PPos (RelVP IdRP (UseComp (CompAP p)))) ; - } diff --git a/doc/tutorial/music/old/MusicEng0.gf b/doc/tutorial/music/old/MusicEng0.gf deleted file mode 100644 index 2d9ae53b3..000000000 --- a/doc/tutorial/music/old/MusicEng0.gf +++ /dev/null @@ -1,3 +0,0 @@ - concrete MusicEng0 of Music = MusicI with - (Grammar = GrammarEng), - (MusicLex = MusicLexEng) ; diff --git a/doc/tutorial/music/old/MusicFin.gf b/doc/tutorial/music/old/MusicFin.gf deleted file mode 100644 index 1778446a6..000000000 --- a/doc/tutorial/music/old/MusicFin.gf +++ /dev/null @@ -1,5 +0,0 @@ ---# -path=.:present:prelude - - concrete MusicFin of Music = MusicI with - (Grammar = GrammarFin), - (MusicLex = MusicLexFin) ; diff --git a/doc/tutorial/music/old/MusicFre.gf b/doc/tutorial/music/old/MusicFre.gf deleted file mode 100644 index 4992589ef..000000000 --- a/doc/tutorial/music/old/MusicFre.gf +++ /dev/null @@ -1,6 +0,0 @@ ---# -path=.:present:prelude - - - concrete MusicFre of Music = MusicI with - (Grammar = GrammarFre), - (MusicLex = MusicLexFre) ; diff --git a/doc/tutorial/music/old/MusicGer.gf b/doc/tutorial/music/old/MusicGer.gf deleted file mode 100644 index eaf22f287..000000000 --- a/doc/tutorial/music/old/MusicGer.gf +++ /dev/null @@ -1,6 +0,0 @@ ---# -path=.:present:prelude - - concrete MusicGer of Music = MusicI with - (Grammar = GrammarGer), - (MusicLex = MusicLexGer) ; - diff --git a/doc/tutorial/music/old/MusicI.gf b/doc/tutorial/music/old/MusicI.gf deleted file mode 100644 index a831fd7e6..000000000 --- a/doc/tutorial/music/old/MusicI.gf +++ /dev/null @@ -1,9 +0,0 @@ - incomplete concrete MusicI of Music = open Grammar, MusicLex in { - lincat - Kind = CN ; - Property = AP ; - lin - PropKind k p = AdjCN p k ; - Song = UseN song_N ; - American = PositA american_A ; - } \ No newline at end of file diff --git a/doc/tutorial/music/old/MusicLex.gf b/doc/tutorial/music/old/MusicLex.gf deleted file mode 100644 index 87a670698..000000000 --- a/doc/tutorial/music/old/MusicLex.gf +++ /dev/null @@ -1,5 +0,0 @@ - abstract MusicLex = Cat ** { - fun - song_N : N ; - american_A : A ; - } diff --git a/doc/tutorial/music/old/MusicLexEng.gf b/doc/tutorial/music/old/MusicLexEng.gf deleted file mode 100644 index 3d90e8f37..000000000 --- a/doc/tutorial/music/old/MusicLexEng.gf +++ /dev/null @@ -1,5 +0,0 @@ - concrete MusicLexEng of MusicLex = CatEng ** open ParadigmsEng in { - lin - song_N = regN "song" ; - american_A = regA "American" ; - } \ No newline at end of file diff --git a/doc/tutorial/music/old/MusicLexFin.gf b/doc/tutorial/music/old/MusicLexFin.gf deleted file mode 100644 index eb6ba7ef0..000000000 --- a/doc/tutorial/music/old/MusicLexFin.gf +++ /dev/null @@ -1,6 +0,0 @@ - concrete MusicLexFin of MusicLex = CatFin ** open ParadigmsFin in { - lin - song_N = regN "kappale" ; - american_A = regA "amerikkalainen" ; - } - diff --git a/doc/tutorial/music/old/MusicLexFre.gf b/doc/tutorial/music/old/MusicLexFre.gf deleted file mode 100644 index 31efbc728..000000000 --- a/doc/tutorial/music/old/MusicLexFre.gf +++ /dev/null @@ -1,5 +0,0 @@ - concrete MusicLexFre of MusicLex = CatFre ** open ParadigmsFre in { - lin - song_N = regGenN "chanson" feminine ; - american_A = regA "américain" ; - } diff --git a/doc/tutorial/music/old/MusicLexGer.gf b/doc/tutorial/music/old/MusicLexGer.gf deleted file mode 100644 index 52e16bc0c..000000000 --- a/doc/tutorial/music/old/MusicLexGer.gf +++ /dev/null @@ -1,5 +0,0 @@ - concrete MusicLexGer of MusicLex = CatGer ** open ParadigmsGer in { - lin - song_N = reg2N "Lied" "Lieder" neuter ; - american_A = regA "amerikanisch" ; - } diff --git a/doc/tutorial/old/Fish.gf b/doc/tutorial/old/Fish.gf deleted file mode 100644 index c404115e9..000000000 --- a/doc/tutorial/old/Fish.gf +++ /dev/null @@ -1,4 +0,0 @@ -abstract Fish = { - cat Fish ; - fun Salmon, Perch : Fish ; -} diff --git a/doc/tutorial/old/FishEng.gf b/doc/tutorial/old/FishEng.gf deleted file mode 100644 index 560f6cda4..000000000 --- a/doc/tutorial/old/FishEng.gf +++ /dev/null @@ -1,5 +0,0 @@ -concrete FishEng of Fish = { - lin - Salmon = {s = "salmon"} ; - Perch = {s = "perch"} ; -} diff --git a/doc/tutorial/old/Gatherer.gf b/doc/tutorial/old/Gatherer.gf deleted file mode 100644 index 4ef16485a..000000000 --- a/doc/tutorial/old/Gatherer.gf +++ /dev/null @@ -1,5 +0,0 @@ -abstract Gatherer = Paleolithic, Fish, Mushrooms ** { - fun - FishCN : Fish -> CN ; - MushroomCN : Mushroom -> CN ; -} \ No newline at end of file diff --git a/doc/tutorial/old/Gatherer.gif b/doc/tutorial/old/Gatherer.gif deleted file mode 100644 index 758b8ea8b3443763579e1a02a9776e18e114c82b..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 12415 zcmZ?wbhEHb%wQ5`oXEiN|Nnmm5c!XRfkE*n3nK#q6N3%|0|Ns{o`LCqOaIE#Z}}I` z*>bCU^SwR4`P&|OOncV3?A57l@3@bD^11%4_xZ1L-~aLRaJ3&<^s&Q7Yx7liBl$r zRTo~HUH<=IKud>!-7>xH_B};G4o*L2?7H*M;FRa;y%w*}?*5;k(U+2$MBJP_^43)42iJDsrhI?dAUOEDI(xoi@b5)<;*-LaON6wNEJaqiZ({Js8 zeo=3aM&{r9%kEsL;w`L<)z$MdR;|lp z*PQ7I2wggbNu^Gp#wQllUB@SKJWM{~Dp0efgNN&3@~cllSp2Bs)bc@}N${eF(+xou z`QYi(g+RfR2U3q3EgXW1f4Uu5x_ArN9Xu42ILcg(u(Eb?Fes=9G6;yMC^0lS{SaUj z6k%vcat67Dy9qt@E^$bluGhQWft zi-CZp{!} zf4Zx~AG=qTBWJ14TBUt^m%hwtE^63Cbn!+og#Lp{e3v7~6@IvXocKWbD4gNm)Gs2>X%|$ZaswmL z1YGF=m4=d_9Fu3IbVtTSM_b zhFOvjvzCC&(gvH=57vib)<*@9tDb&q{|JuP@*p4d%)ueV38{5Iy!n}7{@>jrffQq9u_cED|U zx0MjaM2JdAo&O(F>9Y$$E#EW|EgUXJHpt#>z>j`xmyb506262lY zSi%<+`+513z{c746v2{xh9JZf(hx6!BBN;cWU!G)mAzvp#I66q!Mj}=q6br1J4Bg0 z#MSZ;Wzrayt`LC8XhSSj0lV$Lv(TaA|52-HUP$EscLn=l9wemZd!Waz3^cfu!3M>H zP5l*Me>qEOkJ0!h1;I%e$cmlrc1I+X*o! zaQp}7ITc0*P<>wX+u0p0|7b!i1)0LY0;%Iv99%%Xi?$4ph7L$=d11m2 zP`P$n-pv8cU{R>S$6T0T2Dcqihm;~pkhp>6nqn`fAL8JK({1@hYr8+;D9oXh5kbu54|ca@=){sL)*%hoy-jGkm9IDrKKKJsPFtM z+Sw0bB$lYKHAq6d4=q`IA4x;`lLYLb0pj*Z86svl=?6;lU3&5ls6kWOT0S&`n_SL9 z_o2=angEvtH}-c=`r!d_$`q9rS%}7kiXVHy+73&2)~G;&2~zUtde-njn}LXEbbTZY zDcF_aUVwBYq$mBTfCSqy4<;9Zn*X2%?Fo+@hzZInA3s7J1u3wsh2$r~tQCN$QG_NR zH;+fkLJ&(J9f&j)J2r^-1EqwZ#c2biNaSD4f{^s{^5nqP>GAl`|0r3YrUw$87bXbU zf$Pq^d?9RoCI1hGSCjf5DIZ+^qXTC@%HxBgfFQW>2kPdPK$4bqXaCA-P&oX*Jr`Q` zx*&>%TihNT@`x5HB$?NNoBwwgL*ojTyFgV`79@^9eKk*~9~E#Oq!`NUat6hwCLbtp zV2%C`kbYfwSZjG=TIjKn({7obc`!6?7SGuN%K1^yy!UiT=p+FvxCRaaD;|>X)c`ts(6mxSp5G78$$w%yuMQJBX&^w{8q2R$RKg>_z|$O zR*yeWYbFZ(b4_45c)a_>8Bk@|;lRz6=zd2w!0AT?v?K-P)g!E}A1*2xL2{eF(~lWl z8{Ih{CbK9pf%=V*bf+Z5tixfa=C)#0ke8+lw4&|j+jN5=vN z1`+9|2gy+@R!tJHOLI{=%C>`9K}A52#aii6Qk%y1NL!hRkfrE>|VWT34-Lj}R?}Ahs8yguJI~W%HU|?fsQBhE8N^o(R6DY&L zVc^8XAR>Q&!_LKlg_U8!4FOQ_SZlWQi+76HGaP7WU}10w;IKZV)F;#+_@={}gX^LD z9M^ybjwabcF~DDx?CxE*n1IoQszX8{9)pnwR25{KQh z)>Uep50jma1p53CC=_I|ex%R@?ubt?*v!!+m4S2Ad7Xqo9M(8JMTv4Dk*jctm6oy!AOqydPX zQ=NWPOqBR9a>%?(o`J#5Kx1DcBZDF%Lx;i-fkrWrL!hw_2|;#27I~!)O-u|f4gnyk z8RDyEskHQS3VLuJIK#x@A@HW7nS<%Ebc0|`S3U!%(g)QW>)2X97&0|JVwPYK5CR)0 z*unzx?6SBw>l77hdJb?nF);`@GCT&WXy9m)FNB6Er;7s%V-J4<*bfsJ9KdNij0>EG zIY9nOaFKBlsOdPs(Ii;N?x^^u0~AVy0*(es?-Vq^qcaT2!ZkiTp}s|0{jbr|FWBM6$-{5}8m0}PY9|TBnI9CHlsMd4 zT<-)jF&G#$2{H;gaP~ZKW`VeaNn$priJ%XSetto5Q1o+@9dVUVWl+8$SS}!PsDA^; 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- UseV : V -> VP ; - ComplTV : TV -> NP -> VP ; - UseA : A -> VP ; - ModA : A -> CN -> CN ; - This, That, Def, Indef : CN -> NP ; - Boy, Louse, Snake, Worm : CN ; - Green, Rotten, Thick, Warm : A ; - Laugh, Sleep, Swim : V ; - Eat, Kill, Wash : TV ; -} \ No newline at end of file diff --git a/doc/tutorial/old/PaleolithicEng.gf b/doc/tutorial/old/PaleolithicEng.gf deleted file mode 100644 index ac78f9d9d..000000000 --- a/doc/tutorial/old/PaleolithicEng.gf +++ /dev/null @@ -1,28 +0,0 @@ -concrete PaleolithicEng of Paleolithic = { -lincat - S, NP, VP, CN, A, V, TV = {s : Str} ; -lin - PredVP np vp = {s = np.s ++ vp.s} ; - UseV v = v ; - ComplTV tv np = {s = tv.s ++ np.s} ; - UseA a = {s = "is" ++ a.s} ; - This cn = {s = "this" ++ cn.s} ; - That cn = {s = "that" ++ cn.s} ; - Def cn = {s = "the" ++ cn.s} ; - Indef cn = {s = "a" ++ cn.s} ; - ModA a cn = {s = a.s ++ cn.s} ; - Boy = {s = "boy"} ; - Louse = {s = "louse"} ; - Snake = {s = "snake"} ; - Worm = {s = "worm"} ; - Green = {s = "green"} ; - Rotten = {s = "rotten"} ; - Thick = {s = "thick"} ; - Warm = {s = "warm"} ; - Laugh = {s = "laughs"} ; - Sleep = {s = "sleeps"} ; - Swim = {s = "swims"} ; - Eat = {s = "eats"} ; - Kill = {s = "kills"} ; - Wash = {s = "washes"} ; -} \ No newline at end of file diff --git a/doc/tutorial/old/PaleolithicIta.gf b/doc/tutorial/old/PaleolithicIta.gf deleted file mode 100644 index 242c615d7..000000000 --- a/doc/tutorial/old/PaleolithicIta.gf +++ /dev/null @@ -1,28 +0,0 @@ -concrete PaleolithicIta of Paleolithic = { -lincat - S, NP, VP, CN, A, V, TV = {s : Str} ; -lin - PredVP np vp = {s = np.s ++ vp.s} ; - UseV v = v ; - ComplTV tv np = {s = tv.s ++ np.s} ; - UseA a = {s = "è" ++ a.s} ; - This cn = {s = "questo" ++ cn.s} ; - That cn = {s = "quello" ++ cn.s} ; - Def cn = {s = "il" ++ cn.s} ; - Indef cn = {s = "un" ++ cn.s} ; - ModA a cn = {s = cn.s ++ a.s} ; - Boy = {s = "ragazzo"} ; - Louse = {s = "pidocchio"} ; - Snake = {s = "serpente"} ; - Worm = {s = "verme"} ; - Green = {s = "verde"} ; - Rotten = {s = "marcio"} ; - Thick = {s = "grosso"} ; - Warm = {s = "caldo"} ; - Laugh = {s = "ride"} ; - Sleep = {s = "dorme"} ; - Swim = {s = "nuota"} ; - Eat = {s = "mangia"} ; - Kill = {s = "uccide"} ; - Wash = {s = "lava"} ; -} diff --git a/doc/tutorial/old/paleolithic.cf b/doc/tutorial/old/paleolithic.cf deleted file mode 100644 index 08496c800..000000000 --- a/doc/tutorial/old/paleolithic.cf +++ /dev/null @@ -1,23 +0,0 @@ -PredVP. S ::= NP VP ; -UseV. VP ::= V ; -ComplTV. VP ::= TV NP ; -UseA. VP ::= "is" A ; -This. NP ::= "this" CN ; -That. NP ::= "that" CN ; -Def. NP ::= "the" CN ; -Indef. NP ::= "a" CN ; -ModA. CN ::= A CN ; -Boy. CN ::= "boy" ; -Louse. CN ::= "louse" ; -Snake. CN ::= "snake" ; -Worm. CN ::= "worm" ; -Green. A ::= "green" ; -Rotten. A ::= "rotten" ; -Thick. A ::= "thick" ; -Warm. A ::= "warm" ; -Laugh. V ::= "laughs" ; -Sleep. V ::= "sleeps" ; -Swim. V ::= "swims" ; -Eat. TV ::= "eats" ; -Kill. TV ::= "kills" -Wash. TV ::= "washes" ; diff --git a/doc/tutorial/old/paleolithic.ebnf b/doc/tutorial/old/paleolithic.ebnf deleted file mode 100644 index cd091ae04..000000000 --- a/doc/tutorial/old/paleolithic.ebnf +++ /dev/null @@ -1,8 +0,0 @@ -S ::= NP VP ; -VP ::= V | TV NP | "is" A ; -NP ::= ("this" | "that" | "the" | "a") CN ; -CN ::= A CN ; -CN ::= "boy" | "louse" | "snake" | "worm" ; -A ::= "green" | "rotten" | "thick" | "warm" ; -V ::= "laughs" | "sleeps" | "swims" ; -TV ::= "eats" | "kills" | "washes" ; diff --git a/doc/tutorial/prelude b/doc/tutorial/prelude deleted file mode 100644 index 3f7b84056..000000000 --- a/doc/tutorial/prelude +++ /dev/null @@ -1,12 +0,0 @@ -\documentclass[nwbk_0pt]{book} -\usepackage[latin1]{inputenc} - -%\setlength{\oddsidemargin}{0mm} -%\setlength{\evensidemargin}{-2mm} -%\setlength{\topmargin}{-12mm} -%\setlength{\textheight}{220mm} -%\setlength{\textwidth}{158mm} - -\newcommand{\bequ}{\begin{quote}} -\newcommand{\enqu}{\end{quote}} -%%% \ No newline at end of file diff --git a/doc/tutorial/resource-food/Food.gf b/doc/tutorial/resource-food/Food.gf deleted file mode 100644 index 66a23e4a9..000000000 --- a/doc/tutorial/resource-food/Food.gf +++ /dev/null @@ -1,14 +0,0 @@ -abstract Food = { - - cat - S ; Item ; Kind ; Quality ; - - fun - Is : Item -> Quality -> S ; - This, That, All : Kind -> Item ; - QKind : Quality -> Kind -> Kind ; - Wine, Cheese, Fish, Beer, Pizza : Kind ; - Very : Quality -> Quality ; - Fresh, Warm, Italian, Expensive, Delicious, Boring : Quality ; - -} diff --git a/doc/tutorial/resource-food/FoodEng.gf b/doc/tutorial/resource-food/FoodEng.gf deleted file mode 100644 index 0fdf8235c..000000000 --- a/doc/tutorial/resource-food/FoodEng.gf +++ /dev/null @@ -1,9 +0,0 @@ ---# -path=.:present:prelude - -concrete FoodEng of Food = FoodI - [Pizza] with - (Syntax = SyntaxEng), - (LexFood = LexFoodEng) ** - open SyntaxEng, ParadigmsEng in { - - lin Pizza = mkCN (mkA "Italian") (mkN "pie") ; -} diff --git a/doc/tutorial/resource-food/FoodFin.gf b/doc/tutorial/resource-food/FoodFin.gf deleted file mode 100644 index 200d39b75..000000000 --- a/doc/tutorial/resource-food/FoodFin.gf +++ /dev/null @@ -1,5 +0,0 @@ ---# -path=.:present:prelude - -concrete FoodFin of Food = FoodI with - (Syntax = SyntaxFin), - (LexFood = LexFoodFin) ; diff --git a/doc/tutorial/resource-food/FoodFre.gf b/doc/tutorial/resource-food/FoodFre.gf deleted file mode 100644 index 60b8f0dc2..000000000 --- a/doc/tutorial/resource-food/FoodFre.gf +++ /dev/null @@ -1,30 +0,0 @@ ---# -path=present:prelude - -concrete FoodFre of Food = open SyntaxFre,ParadigmsFre in { - - lincat - S = Utt ; - Item = NP ; - Kind = CN ; - Quality = AP ; - - lin - Is item quality = mkUtt (mkCl item quality) ; - This kind = mkNP (mkDet this_Quant) kind ; - That kind = mkNP (mkDet that_Quant) kind ; - All kind = mkNP all_Predet (mkNP defPlDet kind) ; - QKind quality kind = mkCN quality kind ; - Wine = mkCN (mkN "vin") ; - Beer = mkCN (mkN "bière") ; - Pizza = mkCN (mkN "pizza" feminine) ; - Cheese = mkCN (mkN "fromage" masculine) ; - Fish = mkCN (mkN "poisson") ; - Very quality = mkAP very_AdA quality ; - Fresh = mkAP (mkA "frais" "fraîche") ; - Warm = mkAP (mkA "chaud") ; - Italian = mkAP (mkA "italien") ; - Expensive = mkAP (mkA "cher") ; - Delicious = mkAP (mkA "délicieux") ; - Boring = mkAP (mkA "ennuyeux") ; - -} diff --git a/doc/tutorial/resource-food/FoodGer.gf b/doc/tutorial/resource-food/FoodGer.gf deleted file mode 100644 index 2e76d3f39..000000000 --- a/doc/tutorial/resource-food/FoodGer.gf +++ /dev/null @@ -1,5 +0,0 @@ ---# -path=.:present:prelude - -concrete FoodGer of Food = FoodI with - (Syntax = SyntaxGer), - (LexFood = LexFoodGer) ; diff --git a/doc/tutorial/resource-food/FoodI.gf b/doc/tutorial/resource-food/FoodI.gf deleted file mode 100644 index 1d637be24..000000000 --- a/doc/tutorial/resource-food/FoodI.gf +++ /dev/null @@ -1,28 +0,0 @@ -incomplete concrete FoodI of Food = open Syntax, LexFood in { - - lincat - S = Utt ; - Item = NP ; - Kind = CN ; - Quality = AP ; - - lin - Is item quality = mkUtt (mkCl item quality) ; - This kind = mkNP (mkDet this_Quant) kind ; - That kind = mkNP (mkDet that_Quant) kind ; - All kind = mkNP all_Predet (mkNP defPlDet kind) ; - QKind quality kind = mkCN quality kind ; - Wine = mkCN wine_N ; - Beer = mkCN beer_N ; - Pizza = mkCN pizza_N ; - Cheese = mkCN cheese_N ; - Fish = mkCN fish_N ; - Very quality = mkAP very_AdA quality ; - Fresh = mkAP fresh_A ; - Warm = mkAP warm_A ; - Italian = mkAP italian_A ; - Expensive = mkAP expensive_A ; - Delicious = mkAP delicious_A ; - Boring = mkAP boring_A ; - -} diff --git a/doc/tutorial/resource-food/LexFood.gf b/doc/tutorial/resource-food/LexFood.gf deleted file mode 100644 index 18578c4d8..000000000 --- a/doc/tutorial/resource-food/LexFood.gf +++ /dev/null @@ -1,16 +0,0 @@ -interface LexFood = open Syntax in { - - oper - wine_N : N ; - beer_N : N ; - pizza_N : N ; - cheese_N : N ; - fish_N : N ; - fresh_A : A ; - warm_A : A ; - italian_A : A ; - expensive_A : A ; - delicious_A : A ; - boring_A : A ; - -} diff --git a/doc/tutorial/resource-food/LexFoodFin.gf b/doc/tutorial/resource-food/LexFoodFin.gf deleted file mode 100644 index b4f8809ac..000000000 --- a/doc/tutorial/resource-food/LexFoodFin.gf +++ /dev/null @@ -1,16 +0,0 @@ -instance LexFoodFin of LexFood = open SyntaxFin, ParadigmsFin in { - - oper - wine_N = mkN "viini" ; - beer_N = mkN "olut" ; - pizza_N = mkN "pizza" ; - cheese_N = mkN "juusto" ; - fish_N = mkN "kala" ; - fresh_A = mkA "tuore" ; - warm_A = mkA "lämmin" ; - italian_A = mkA "italialainen" ; - expensive_A = mkA "kallis" ; - delicious_A = mkA "herkullinen" ; - boring_A = mkA "tylsä" ; - -} diff --git a/doc/tutorial/resource-food/LexFoodGer.gf b/doc/tutorial/resource-food/LexFoodGer.gf deleted file mode 100644 index 7f04f2e8d..000000000 --- a/doc/tutorial/resource-food/LexFoodGer.gf +++ /dev/null @@ -1,16 +0,0 @@ -instance LexFoodGer of LexFood = open SyntaxGer, ParadigmsGer in { - - oper - wine_N = mkN "Wein" ; - beer_N = mkN "Bier" "Biere" neuter ; - pizza_N = mkN "Pizza" "Pizzen" feminine ; - cheese_N = mkN "Käse" "Käsen" masculine ; - fish_N = mkN "Fisch" ; - fresh_A = mkA "frisch" ; - warm_A = mkA "warm" "wärmer" "wärmste" ; - italian_A = mkA "italienisch" ; - expensive_A = mkA "teuer" ; - delicious_A = mkA "köstlich" ; - boring_A = mkA "langweilig" ; - -} diff --git a/doc/tutorial/resource/LexEng.gf b/doc/tutorial/resource/LexEng.gf deleted file mode 100644 index c939aac9f..000000000 --- a/doc/tutorial/resource/LexEng.gf +++ /dev/null @@ -1,34 +0,0 @@ ---# -path=.:prelude - -resource LexEng = open SyntaxEng, MorphoEng, Prelude in { - - oper - - -- constructors for open lexicon - - mkN : (man,men : Str) -> CN ; - regN : (car : Str) -> CN ; - - mkA : (hot : Str) -> AP ; - - mkV : (go,goes : Str) -> V ; - regV : (walk : Str) -> V ; - - mkV2 : (look : V) -> (at : Str) -> V2 ; - dirV2 : (eat : V) -> V2 ; - - -------------------------------------------- - -- definitions, hidden from users - - mkN x y = mkNoun x y ** {lock_CN = <>} ; - regN x = regNoun x ** {lock_CN = <>} ; - - mkA x = ss x ** {lock_AP = <>} ; - - mkV x y = mkVerb x y ** {lock_V = <>} ; - regV x = regVerb x ** {lock_V = <>} ; - - mkV2 x p = x ** {c = p ; lock_V2 = <>} ; - dirV2 x = mkV2 x [] ; - -} diff --git a/doc/tutorial/resource/LexFoods.gf b/doc/tutorial/resource/LexFoods.gf deleted file mode 100644 index 5bda608a3..000000000 --- a/doc/tutorial/resource/LexFoods.gf +++ /dev/null @@ -1,4 +0,0 @@ -interface LexFoods = open Syntax in { - - -} \ No newline at end of file diff --git a/doc/tutorial/resource/LexIta.gf b/doc/tutorial/resource/LexIta.gf deleted file mode 100644 index 0b8940e1e..000000000 --- a/doc/tutorial/resource/LexIta.gf +++ /dev/null @@ -1,46 +0,0 @@ ---# -path=.:prelude - -resource LexIta = open SyntaxIta, MorphoIta, Prelude in { - - oper - - -- constructors for genders - - Gender : Type ; - masculine, feminine : Gender ; - - -- constructors for open lexicon - - mkN : Gender -> (vino,vini : Str) -> CN ; - regN : (vino : Str) -> CN ; - femN : CN -> CN ; - - mkA : (nero,nera,neri,nere : Str) -> AP ; - regA : (nero : Str) -> AP ; - - mkV : (ama,amano : Str) -> V ; - regV : (amare : Str) -> V ; - - mkV2 : (aspettare : V) -> (a : Str) -> V2 ; - dirV2 : (mangiare : V) -> V2 ; - - -------------------------------------------- - -- definitions, hidden from users - - Gender = MorphoIta.Gender ; - masculine = Masc ; - feminine = Fem ; - - mkN g x y = mkNoun g x y ** {lock_CN = <>} ; - regN x = regNoun x ** {lock_CN = <>} ; - - mkA x y z u = mkAdjective x y z u ** {lock_AP = <>} ; - regA x = regAdjective x ** {lock_AP = <>} ; - - mkV x y = mkVerb x y ** {lock_V = <>} ; - regV x = regVerb x ** {lock_V = <>} ; - - mkV2 x p = x ** {c = p ; lock_V2 = <>} ; - dirV2 x = mkV2 x [] ; - -} diff --git a/doc/tutorial/smarthouse/Smart.gf b/doc/tutorial/smarthouse/Smart.gf deleted file mode 100644 index f23082b47..000000000 --- a/doc/tutorial/smarthouse/Smart.gf +++ /dev/null @@ -1,17 +0,0 @@ -abstract Smart = { - -flags startcat = Command ; - -cat - Command ; - Kind ; - Action Kind ; - Device Kind ; -fun - CAction : (k : Kind) -> Action k -> Device k -> Command ; - DKindOne : (k : Kind) -> Device k ; - light, fan : Kind ; - switchOn, switchOff : (k : Kind) -> Action k ; - dim : Action light ; -} - diff --git a/doc/tutorial/smarthouse/SmartEng.gf b/doc/tutorial/smarthouse/SmartEng.gf deleted file mode 100644 index 0f59cd1e0..000000000 --- a/doc/tutorial/smarthouse/SmartEng.gf +++ /dev/null @@ -1,19 +0,0 @@ ---# -path=.:prelude - -concrete SmartEng of Smart = open Prelude in { - --- part of grammar Toy1 from the Regulus book - -lincat - Command, Kind, Action, Device = SS ; -lin - CAction _ act dev = ss (act.s ++ dev.s) ; - DKindOne k = ss ("the" ++ k.s) ; - - light = ss "light" ; - fan = ss "fan" ; - switchOn _ = ss ["switch on"] ; - switchOff _ = ss ["switch off"] ; - dim = ss "dim" ; -} -