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) ;
+```
+
+