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", "'"]]