spaCy/spacy/lang/fr/lemmatizer/_lemma_rules.py

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Rule-based French Lemmatizer (#2818) <!--- Provide a general summary of your changes in the title. --> ## Description <!--- Use this section to describe your changes. If your changes required testing, include information about the testing environment and the tests you ran. If your test fixes a bug reported in an issue, don't forget to include the issue number. If your PR is still a work in progress, that's totally fine – just include a note to let us know. --> Add a rule-based French Lemmatizer following the english one and the excellent PR for [greek language optimizations](https://github.com/explosion/spaCy/pull/2558) to adapt the Lemmatizer class. ### Types of change <!-- What type of change does your PR cover? Is it a bug fix, an enhancement or new feature, or a change to the documentation? --> - Lemma dictionary used can be found [here](http://infolingu.univ-mlv.fr/DonneesLinguistiques/Dictionnaires/telechargement.html), I used the XML version. - Add several files containing exhaustive list of words for each part of speech - Add some lemma rules - Add POS that are not checked in the standard Lemmatizer, i.e PRON, DET, ADV and AUX - Modify the Lemmatizer class to check in lookup table as a last resort if POS not mentionned - Modify the lemmatize function to check in lookup table as a last resort - Init files are updated so the model can support all the functionalities mentioned above - Add words to tokenizer_exceptions_list.py in respect to regex used in tokenizer_exceptions.py ## Checklist <!--- Before you submit the PR, go over this checklist and make sure you can tick off all the boxes. [] -> [x] --> - [X] I have submitted the spaCy Contributor Agreement. - [X] I ran the tests, and all new and existing tests passed. - [X] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-10-13 17:38:21 +03:00
# coding: utf8
from __future__ import unicode_literals
ADJECTIVE_RULES = [
["s", ""],
["e", ""],
["es", ""]
]
NOUN_RULES = [
["s", ""]
]
VERB_RULES = [
["é", "er"],
["és", "er"],
["ée", "er"],
["ées", "er"],
["é", "er"],
["es", "er"],
["ons", "er"],
["ez", "er"],
["ent", "er"],
["ais", "er"],
["ait", "er"],
["ions", "er"],
["iez", "er"],
["aient", "er"],
["ai", "er"],
["as", "er"],
["a", "er"],
["âmes", "er"],
["âtes", "er"],
["èrent", "er"],
["erai", "er"],
["eras", "er"],
["era", "er"],
["erons", "er"],
["erez", "er"],
["eront", "er"],
["erais", "er"],
["erait", "er"],
["erions", "er"],
["eriez", "er"],
["eraient", "er"],
["asse", "er"],
["asses", "er"],
["ât", "er"],
["assions", "er"],
["assiez", "er"],
["assent", "er"],
["ant", "er"]
]