mirror of https://github.com/explosion/spaCy.git
106 lines
2.5 KiB
Python
106 lines
2.5 KiB
Python
from __future__ import unicode_literals
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from os import path
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import codecs
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NOUN_RULES = (
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('s', ''),
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('ses', 's'),
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('ves', 'f'),
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('xes', 'x'),
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('zes', 'z'),
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('ches', 'ch'),
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('shes', 'sh'),
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('men', 'man'),
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('ies', 'y')
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)
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VERB_RULES = (
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("s", ""),
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("ies", "y"),
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("es", "e"),
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("es", ""),
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("ed", "e"),
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("ed", ""),
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("ing", "e"),
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("ing", "")
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)
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ADJ_RULES = (
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("er", ""),
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("est", ""),
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("er", "e"),
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("est", "e")
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)
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class Lemmatizer(object):
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def __init__(self, wn_dict_dir, noun_id, verb_id, adj_id):
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self.noun_id = noun_id
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self.verb_id = verb_id
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self.adj_id = adj_id
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self.index = {}
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self.exc = {}
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for pos in ['adj', 'adv', 'noun', 'verb']:
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self.index[pos] = read_index(path.join(wn_dict_dir, 'index.%s' % pos))
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self.exc[pos] = read_exc(path.join(wn_dict_dir, '%s.exc' % pos))
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def __call__(self, string, pos):
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if pos == self.noun_id:
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return self.noun(string)
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elif pos == self.verb_id:
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return self.verb(string)
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elif pos == self.adj_id:
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return self.adj(string)
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else:
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raise Exception("Cannot lemmatize with unknown pos: %s" % pos)
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def noun(self, string):
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return lemmatize(string, self.index['noun'], self.exc['noun'], NOUN_RULES)
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def verb(self, string):
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return lemmatize(string, self.index['verb'], self.exc['verb'], VERB_RULES)
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def adj(self, string):
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return lemmatize(string, self.index['adj'], self.exc['adj'], ADJ_RULES)
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def lemmatize(string, index, exceptions, rules):
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string = string.lower()
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forms = []
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if string in index:
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forms.append(string)
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forms.extend(exceptions.get(string, []))
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for old, new in rules:
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if string.endswith(old):
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form = string[:len(string) - len(old)] + new
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if form in index:
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forms.append(form)
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if not forms:
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forms.append(string)
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return set(forms)
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def read_index(loc):
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index = set()
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for line in codecs.open(loc, 'r', 'utf8'):
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if line.startswith(' '):
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continue
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pieces = line.split()
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word = pieces[0]
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if word.count('_') == 0:
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index.add(word)
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return index
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def read_exc(loc):
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exceptions = {}
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for line in codecs.open(loc, 'r', 'utf8'):
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if line.startswith(' '):
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continue
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pieces = line.split()
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exceptions[pieces[0]] = tuple(pieces[1:])
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return exceptions
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