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

32 lines
588 B
Python

# coding: utf8
from __future__ import unicode_literals
ADJECTIVE_RULES = [
["e", ""], #pene -> pen
["ere", ""], #penere -> pen
["est", ""], #penest -> pen
["este", ""] #peneste -> pen
]
NOUN_RULES = [
["en", "e"], #hansken -> hanske
["a", "e"], #veska -> veske
["et", ""], #dyret -> dyr
["er", "e"], #hasker -> hanske
["ene", "e"] #veskene -> veske
]
VERB_RULES = [
["er", "e"], #vasker -> vaske
["et", "e"], #vasket -> vaske
["es", "e"], #vaskes -> vaske
["te", "e"], #stekte -> steke
["år", "å"] #får -> få
]
PUNCT_RULES = []