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 14:38:21 +00:00
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# coding: utf8
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from __future__ import unicode_literals
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ADJECTIVE_RULES = [
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["s", ""],
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["e", ""],
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["es", ""]
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]
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NOUN_RULES = [
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2018-12-06 21:42:18 +00:00
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["a", "a"],
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["à", "à"],
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["â", "â"],
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["b", "b"],
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["c", "c"],
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["ç", "ç"],
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["d", "d"],
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["e", "e"],
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["é", "é"],
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["è", "è"],
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["ê", "ê"],
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["ë", "ë"],
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["f", "f"],
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["g", "g"],
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["h", "h"],
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["i", "i"],
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["î", "î"],
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["ï", "ï"],
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["j", "j"],
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["k", "k"],
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["l", "l"],
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["m", "m"],
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["n", "n"],
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["o", "o"],
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["ô", "ö"],
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["ö", "ö"],
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["p", "p"],
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["q", "q"],
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["r", "r"],
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["t", "t"],
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["u", "u"],
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["û", "û"],
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["v", "v"],
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["w", "w"],
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["y", "y"],
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["z", "z"],
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["as", "a"],
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["aux", "au"],
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["cs", "c"],
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["chs", "ch"],
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["ds", "d"],
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["és", "é"],
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["es", "e"],
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["eux", "eu"],
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["fs", "f"],
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["gs", "g"],
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["hs", "h"],
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["is", "i"],
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["ïs", "ï"],
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["js", "j"],
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["ks", "k"],
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["ls", "l"],
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["ms", "m"],
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["ns", "n"],
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["oux", "ou"],
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["os", "o"],
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["ps", "p"],
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["qs", "q"],
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["rs", "r"],
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["ses", "se"],
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["se", "se"],
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["ts", "t"],
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["us", "u"],
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["vs", "v"],
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["ws", "w"],
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["ys", "y"],
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["nt(e", "nt"],
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["nt(e)", "nt"],
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["al(e", "ale"],
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["é(", "é"],
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["é(e", "é"],
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["é.e", "é"],
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["el(le", "el"],
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["eurs(rices", "eur"],
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["eur(rice", "eur"],
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["eux(se", "eux"],
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["ial(e","ial"],
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["er(ère", "er"],
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["eur(se", "eur"],
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["teur(trice", "teur"],
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["teurs(trices", "teur"]
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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 14:38:21 +00:00
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]
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VERB_RULES = [
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["é", "er"],
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["és", "er"],
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["ée", "er"],
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["ées", "er"],
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["é", "er"],
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["es", "er"],
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["ons", "er"],
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["ez", "er"],
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["ent", "er"],
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["ais", "er"],
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["ait", "er"],
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["ions", "er"],
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["iez", "er"],
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["aient", "er"],
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["ai", "er"],
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["as", "er"],
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["a", "er"],
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["âmes", "er"],
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["âtes", "er"],
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["èrent", "er"],
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["erai", "er"],
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["eras", "er"],
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["era", "er"],
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["erons", "er"],
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["erez", "er"],
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["eront", "er"],
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["erais", "er"],
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["erait", "er"],
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["erions", "er"],
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["eriez", "er"],
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["eraient", "er"],
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["asse", "er"],
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["asses", "er"],
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["ât", "er"],
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["assions", "er"],
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["assiez", "er"],
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["assent", "er"],
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2018-12-06 14:49:28 +00:00
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["ant", "er"],
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["ante", "er"],
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["ants", "er"],
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["antes", "er"],
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["u(er", "u"],
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["és(ées", "er"],
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["é()e", "er"],
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2018-12-06 21:42:18 +00:00
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["é()", "er"]
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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 14:38:21 +00:00
|
|
|
]
|