mirror of https://github.com/explosion/spaCy.git
101 lines
2.7 KiB
Python
101 lines
2.7 KiB
Python
from __future__ import unicode_literals, print_function
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import codecs
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import pathlib
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try:
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import ujson as json
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except ImportError:
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import json
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from .parts_of_speech import NOUN, VERB, ADJ, PUNCT
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class Lemmatizer(object):
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@classmethod
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def load(cls, path):
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index = {}
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exc = {}
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for pos in ['adj', 'noun', 'verb']:
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pos_index_path = path / 'wordnet' / 'index.{pos}'.format(pos=pos)
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if pos_index_path.exists():
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with pos_index_path.open() as file_:
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index[pos] = read_index(file_)
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else:
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index[pos] = set()
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pos_exc_path = path / 'wordnet' / '{pos}.exc'.format(pos=pos)
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if pos_exc_path.exists():
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with pos_exc_path.open() as file_:
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exc[pos] = read_exc(file_)
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else:
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exc[pos] = {}
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with (path / 'vocab' / 'lemma_rules.json').open() as file_:
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rules = json.load(file_)
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return cls(index, exc, rules)
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def __init__(self, index, exceptions, rules):
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self.index = index
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self.exc = exceptions
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self.rules = rules
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def __call__(self, string, pos):
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if pos == NOUN:
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pos = 'noun'
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elif pos == VERB:
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pos = 'verb'
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elif pos == ADJ:
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pos = 'adj'
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elif pos == PUNCT:
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pos = 'punct'
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lemmas = lemmatize(string, self.index.get(pos, {}), self.exc.get(pos, {}), self.rules.get(pos, []))
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return lemmas
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def noun(self, string):
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return self(string, 'noun')
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def verb(self, string):
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return self(string, 'verb')
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def adj(self, string):
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return self(string, 'adj')
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def punct(self, string):
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return self(string, 'punct')
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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 or not form.isalpha():
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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(fileobj):
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index = set()
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for line in fileobj:
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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(fileobj):
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exceptions = {}
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for line in fileobj:
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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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