Lab 2: Multilingual text generation from Wikidata

This uses GF to generate texts from facts in the Wikidata fact database. You are given

an abstract syntax and an English concrete syntax, in the subdirectory grammars/
a json dump from Wikidata, in the subdirectory data/
a Python file that connects Wikidata with GF, in the subdirectory scripts/

Your task is to create a concrete syntax for some other language by using the GF RGL and evaluate the text generated by this. The steps to take are the following:

in scripts/, run python3 find_labels.py da > ../grammars/LabelsDan.gf
in grammars/, copy the beginnings of LabelsEng.gf to LabelsDan.gf, change Eng to Dan
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

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.

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Lab 2: Multilingual text generation from Wikidata

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