gendered person names possible, see README

lab2/README.md

@@ -15,16 +15,35 @@ GF RGL and evaluate the text generated by this. The steps to take are the follow
 - in grammars/, copy `NobelEng.gf` to `NobelDan.gf` and do the necessary changes
 - in grammars/, start GF and `import NobelDan.gf`, to do some testing
 - in grammars/ outside GF, do `gf -make NobelEng.gf NobelDan.gf`
-- in scripts/, generate all texts with `python3 describe_nobel.py Dan`
+- (if possible, do this, but see woraround below) in scripts/, generate all texts with `python3 describe_nobel.py Dan`
 
-The last step requires `pip3 install pgf`.
 
 Replace da and Dan with your own language codes!
 
-More instructions and demos are given in the lectures of the week 5-9 May 2025.
-
+The last step above requires `pip3 install pgf`.
 If you don't manage to install pgf, a quick way to test is, in GF,
 ```
  import NobelEng.gf
  rf -file="../data/trees.gft" -lines -tree | l
 ```
+
+## If you need gender agreement of nakes
+
+(This note was added late, and is therefore not required at the 2025 course)
+
+In some languages, names of laureates requires gender agreement.
+In that case, use the GF command
+```
+  rf -file="../data/gendertrees.gft" -lines -tree | l
+```
+or, if it works for you, the Python command
+```
+  python3 describe_nobel.py Dan gender
+```
+This requires you to define linearizations of the gender-specific functions `MaleName` and `FemaleName` so that the gender agreement is set properly.
+The following works for many languages:
+```
+  FemaleName s = mkNP (mkPN s.s feminine) ;
+```
+
+

lab2/grammars/Nobel.gf

@@ -12,6 +12,8 @@ fun
   AwardSentence : Name -> Award -> Date -> Sentence ;
   DiedSentence : Name -> Date -> Sentence ;
 
+  FemaleName : String -> Name ; -- use if your language needs gender agreement
+  MaleName : String -> Name ; -- use if your language needs gender agreement
   StringName : String -> Name ;
   YearDate : Int -> Date ;
   he_Name, she_Name, they_Name : Name ;

lab2/grammars/NobelEng.gf

@@ -20,6 +20,8 @@ lin
   DiedSentence name date =
     mkS pastTense (mkCl name (mkVP die_VP date)) ;
 
+  FemaleName s = symb s ; -- use if your language needs gender agreement
+  MaleName s = symb s ; -- use if your language needs gender agreement
   StringName s = symb s ;
   
   YearDate i = inAdv <symb i : NP> ;

lab2/query/query.py

@@ -70,9 +70,9 @@ def quantifier(term):
         case ("TElement", element):
             return lambda p: p(value(element))
         case ("TAll", [kind]):
-            return lambda p: all(lambda x: not predicate(kind)(x) or p(x), data)
+            return lambda p: all([not predicate(kind)(x) or p(x) for x in data])
         case ("TAny", [kind]):
-            return lambda p: any(lambda x: predicate(kind)(x) and p(x), data)
+            return lambda p: any([predicate(kind)(x) and p(x) for x in data])
           
     print('not yet', str(tree))
 

lab2/scripts/describe_nobel.py

@@ -4,6 +4,8 @@ import pgf
 
 # query: https://w.wiki/3tEM
 
+# usage: descri_nobel <lang> gender?
+
 DATA_FILE = '../data/query.json'
 WIKIDATA_PREFIX = 'http://www.wikidata.org/entity/'
 GRAMMAR_PREFIX = 'Nobel'
@@ -51,7 +53,15 @@ def template_description(d):
 
 def name(d):
     person = d['personLabel']
-    return f'StringName "{person}"'
+    if not sys.argv[2:]:
+        namefun = 'StringName'
+    elif pronoun(d) == 'she':
+        namefun = 'FemaleName'
+    elif pronoun(d) == 'he':
+        namefun = 'MaleName'
+    else:
+        namefun = 'StringName'
+    return f'{namefun} "{person}"'
 
 
 def funs(funfile):
@@ -78,8 +88,8 @@ def grammar_description(grammar, fundata, d, lang):
         died = pgf.readExpr(
             f"DiedSentence ({name(d)}) (YearDate {year(d['deathDate'])})")
         sentences.append(died)
-#    return ('\n '.join([str(s) for s in sentences]))
-    return ' '.join([lang.linearize(s) + '.' for s in sentences])
+    return ('\n '.join([str(s) for s in sentences]))
+#    return ' '.join([lang.linearize(s) + '.' for s in sentences])
 
 
 if sys.argv[1:]: