spaCy/spacy/lemmatizer.py

87 lines
2.2 KiB
Python

from __future__ import unicode_literals
from os import path
import codecs
try:
import ujson as json
except ImportError:
import json
from .parts_of_speech import NOUN, VERB, ADJ
class Lemmatizer(object):
@classmethod
def from_dir(cls, data_dir):
index = {}
exc = {}
for pos in ['adj', 'adv', 'noun', 'verb']:
index[pos] = read_index(path.join(data_dir, 'index.%s' % pos))
exc[pos] = read_exc(path.join(data_dir, '%s.exc' % pos))
rules = json.load(open(path.join(data_dir, 'lemma_rules.json')))
return cls(index, exc, rules)
def __init__(self, index, exceptions, rules):
self.index = index
self.exc = exceptions
self.rules = rules
def __call__(self, string, pos):
if pos == NOUN:
pos = 'noun'
elif pos == VERB:
pos = 'verb'
elif pos == ADJ:
pos = 'adj'
else:
return string
lemmas = lemmatize(string, self.index[pos], self.exc[pos], self.rules.get(pos, []))
return min(lemmas)
def noun(self, string):
return self(string, 'noun')
def verb(self, string):
return self(string, 'verb')
def adj(self, string):
return self(string, 'adj')
def lemmatize(string, index, exceptions, rules):
string = string.lower()
forms = []
if string in index:
forms.append(string)
forms.extend(exceptions.get(string, []))
for old, new in rules:
if string.endswith(old):
form = string[:len(string) - len(old)] + new
if form in index:
forms.append(form)
if not forms:
forms.append(string)
return set(forms)
def read_index(loc):
index = set()
for line in codecs.open(loc, 'r', 'utf8'):
if line.startswith(' '):
continue
pieces = line.split()
word = pieces[0]
if word.count('_') == 0:
index.add(word)
return index
def read_exc(loc):
exceptions = {}
for line in codecs.open(loc, 'r', 'utf8'):
if line.startswith(' '):
continue
pieces = line.split()
exceptions[pieces[0]] = tuple(pieces[1:])
return exceptions