spaCy/spacy/lemmatizer.py

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# coding: utf8
from __future__ import unicode_literals
from .symbols import POS, NOUN, VERB, ADJ, PUNCT, PROPN
from .symbols import VerbForm_inf, VerbForm_none, Number_sing, Degree_pos
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class Lemmatizer(object):
@classmethod
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def load(cls, path, index=None, exc=None, rules=None, lookup=None):
return cls(index, exc, rules, lookup)
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def __init__(self, index=None, exceptions=None, rules=None, lookup=None):
self.index = index
self.exc = exceptions
self.rules = rules
self.lookup_table = lookup if lookup is not None else {}
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def __call__(self, string, univ_pos, morphology=None):
if not self.rules:
return [self.lookup_table.get(string, string)]
if univ_pos in (NOUN, "NOUN", "noun"):
univ_pos = "noun"
elif univ_pos in (VERB, "VERB", "verb"):
univ_pos = "verb"
elif univ_pos in (ADJ, "ADJ", "adj"):
univ_pos = "adj"
elif univ_pos in (PUNCT, "PUNCT", "punct"):
univ_pos = "punct"
elif univ_pos in (PROPN, "PROPN"):
return [string]
else:
return [string.lower()]
# See Issue #435 for example of where this logic is requied.
if self.is_base_form(univ_pos, morphology):
return [string.lower()]
lemmas = lemmatize(
string,
self.index.get(univ_pos, {}),
self.exc.get(univ_pos, {}),
self.rules.get(univ_pos, []),
)
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return lemmas
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def is_base_form(self, univ_pos, morphology=None):
"""
Check whether we're dealing with an uninflected paradigm, so we can
avoid lemmatization entirely.
"""
if univ_pos == "noun" and morphology.get("Number") == "sing":
return True
elif univ_pos == "verb" and morphology.get("VerbForm") == "inf":
return True
# This maps 'VBP' to base form -- probably just need 'IS_BASE'
# morphology
elif univ_pos == "verb" and (
morphology.get("VerbForm") == "fin"
and morphology.get("Tense") == "pres"
and morphology.get("Number") is None
):
return True
elif univ_pos == "adj" and morphology.get("Degree") == "pos":
return True
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elif morphology.get('VerbForm') == 'inf':
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return True
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elif morphology.get('VerbForm') == 'none':
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return True
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elif morphology.get('VerbForm') == 'inf':
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return True
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elif morphology.get('Degree') == 'pos':
return True
else:
return False
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def noun(self, string, morphology=None):
return self(string, "noun", morphology)
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def verb(self, string, morphology=None):
return self(string, "verb", morphology)
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def adj(self, string, morphology=None):
return self(string, "adj", morphology)
def punct(self, string, morphology=None):
return self(string, "punct", morphology)
def lookup(self, string):
if string in self.lookup_table:
return self.lookup_table[string]
return string
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def lemmatize(string, index, exceptions, rules):
orig = string
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string = string.lower()
forms = []
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oov_forms = []
for old, new in rules:
if string.endswith(old):
form = string[: len(string) - len(old)] + new
if not form:
pass
elif form in index or not form.isalpha():
forms.append(form)
else:
oov_forms.append(form)
# Remove duplicates, and sort forms generated by rules alphabetically.
forms = list(set(forms))
# Put exceptions at the front of the list, so they get priority.
# This is a dodgy heuristic -- but it's the best we can do until we get
# frequencies on this. We can at least prune out problematic exceptions,
# if they shadow more frequent analyses.
for form in exceptions.get(string, []):
if form not in forms:
forms.insert(0, form)
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if not forms:
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forms.extend(oov_forms)
if not forms:
forms.append(orig)
return forms