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

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# coding: utf8
from __future__ import unicode_literals
ADJECTIVE_RULES = [
["ین", ""],
["\u200cترین", ""],
["ترین", ""],
["\u200cتر", ""],
["تر", ""],
["\u200cای", ""],
# ["ایی", "ا"],
# ["ویی", "و"],
# ["ی", ""],
# ["مند", ""],
# ["گین", ""],
# ["مین", ""],
# ["ناک", ""],
# ["سار", ""],
# ["\u200cوار", ""],
# ["وار", ""]
]
NOUN_RULES = [
['ایان', 'ا'],
['ویان', 'و'],
['ایانی', 'ا'],
['ویانی', 'و'],
['گان', 'ه'],
['گانی', 'ه'],
['گان', ''],
['گانی', ''],
['ان', ''],
['انی', ''],
['ات', ''],
['ات', 'ه'],
['ات', 'ت'],
['اتی', ''],
['اتی', 'ه'],
['اتی', 'ت'],
# ['ین', ''],
# ['ینی', ''],
# ['ون', ''],
# ['ونی', ''],
['\u200cها', ''],
['ها', ''],
['\u200cهای', ''],
['های', ''],
['\u200cهایی', ''],
['هایی', ''],
]
VERB_RULES = [
]
PUNCT_RULES = [
["", "\""],
["", "\""],
["\u2018", "'"],
["\u2019", "'"]
]