mirror of https://github.com/explosion/spaCy.git
80 lines
1.4 KiB
Python
80 lines
1.4 KiB
Python
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# coding: utf8
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from __future__ import unicode_literals
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ADJECTIVE_SUFFIX_RULES = [
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["sten", ""],
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["ste", ""],
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["st", ""],
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["er", ""],
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["en", ""],
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["e", ""],
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["ende", "end"]
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]
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VERB_SUFFIX_RULES = [
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["dt", "den"],
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["de", "en"],
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["te", "en"],
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["dde", "den"],
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["tte", "ten"],
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["dden", "den"],
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["tten", "ten"],
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["end", "en"],
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]
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NOUN_SUFFIX_RULES = [
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["en", ""],
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["ën", ""],
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["'er", ""],
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["s", ""],
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["tje", ""],
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["kje", ""],
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["'s", ""],
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["ici", "icus"],
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["heden", "heid"],
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["elen", "eel"],
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["ezen", "ees"],
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["even", "eef"],
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["ssen", "s"],
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["rren", "r"],
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["kken", "k"],
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["bben", "b"]
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]
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NUM_SUFFIX_RULES = [
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["ste", ""],
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["sten", ""],
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["ën", ""],
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["en", ""],
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["de", ""],
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["er", ""],
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["ër", ""],
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["tjes", ""]
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]
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PUNCT_SUFFIX_RULES = [
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["“", "\""],
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["”", "\""],
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["\u2018", "'"],
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["\u2019", "'"]
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]
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# In-place sort guaranteeing that longer -- more specific -- rules are
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# applied first.
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for rule_set in (ADJECTIVE_SUFFIX_RULES,
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NOUN_SUFFIX_RULES,
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NUM_SUFFIX_RULES,
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VERB_SUFFIX_RULES):
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rule_set.sort(key=lambda r: len(r[0]), reverse=True)
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RULES = {
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"adj": ADJECTIVE_SUFFIX_RULES,
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"noun": NOUN_SUFFIX_RULES,
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"verb": VERB_SUFFIX_RULES,
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"num": NUM_SUFFIX_RULES,
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"punct": PUNCT_SUFFIX_RULES
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}
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