apertium2ud

Obtaining the mapping between the two tagsets based on the information from Apertium Wiki.

Loosely based on this code, hence the GPLv3 license.

To install, run

python -m pip install apertium2ud

The latest uploaded version is 0.0.4.

NB! The latest version from PyPI (yes, you can install the tool via pip) is equipped with the apertium-kir .udx file rules.

To build the machine-readable mapping, run

python apertium_wiki_parser.py

Apertium to Universal tags

>>> from apertium2ud.convert import a2ud
>>> tags = ["n", "pl", "acc"]
>>> a2ud(tags)
(['NOUN'], ['Number=Plur', 'Case=Acc'])
>>> tags_sophisticated = ["v", "tv", "ger", "nom", "cop", "aor", "p3", "pl"]
>>> a2ud(tags_sophisticated)
(['VERB', 'AUX'], ['Subcat=Tran', 'VerbForm=Vnoun', 'Case=Nom', 'Tense=Past', 'Person=3', 'Number=Plur'])

Universal tags to Apertium

So far the conversion is far from perfect

Кыз NOUN {'Number[psor]=Sing', 'Number=Sing', 'Case=Nom', 'Person[psor]=3', 'Person=3'} ->
<px3sg><n><subj?nom?><sg><p3><px3sp> 

досуна NOUN {'Number[psor]=Sing', 'Number=Sing', 'Person[psor]=3', 'Case=Dat', 'Person=3'} ->
<px3sg><n><sg><dat><p3><px3sp> 

кат NOUN {'Case=Nom', 'Person=3', 'Number=Sing'} ->
<n><subj?nom?><sg><p3> 

жазган VERB {'Aspect=Perf', 'Polarity=Pos', 'Number=Sing', 'Tense=Past', 'Person=3', 'Evident=Fh'} ->
<past3p><vblex?v?vbmod?><sg><aff><aor?past?pret?><perf><p3> 

. PUNCT set() ->
<sent?apos?percent?clb?punct?> 

TODO

• Should sections chunks and XML tags be added? No.
• Tests: Apertium -> UD -> Apertium, UD -> Apertium -> UD (sometimes losses are inevitable)
• Add the possibility to add the rules based on a .udx file, which usually describes custom tags

How to cite

Greatly appreciated, if you use this work.

@misc{apertium2ud2023alekseev,
  title     = {{alexeyev/apertium2ud: mapping tagsets}},
  year      = {2023},
  url       = {https://github.com/alexeyev/apertium2ud}
}