spaCy/spacy/orth.py

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# -*- coding: utf8 -*-
from __future__ import unicode_literals
import unicodedata
from unidecode import unidecode
import math
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TAGS = 'adj adp adv conj det noun num pdt pos pron prt punct verb'.upper().split()
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# Binary string features
def is_alpha(string):
return string.isalpha()
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def is_digit(string):
return string.isdigit()
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def is_punct(string):
for c in string:
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if not unicodedata.category(c).startswith('P'):
return False
else:
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return True
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def is_space(string):
return string.isspace()
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def is_ascii(string):
for c in string:
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if ord(c) >= 128:
return False
else:
return True
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def is_title(string):
return string.istitle()
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def is_lower(string):
return string.islower()
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def is_upper(string):
return string.isupper()
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# Statistics features
def oft_case(name, thresh):
def wrapped(string, prob, case_stats, tag_stats):
return string
return wrapped
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def can_tag(name, thresh=0.5):
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def wrapped(string, prob, case_stats, tag_stats):
return string
return wrapped
# String features
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def canon_case(string, upper_pc=0.0, title_pc=0.0, lower_pc=0.0):
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if upper_pc >= lower_pc and upper_pc >= title_pc:
return string.upper()
elif title_pc >= lower_pc:
return string.title()
else:
return string.lower()
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def word_shape(string):
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length = len(string)
shape = []
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last = ""
shape_char = ""
seq = 0
for c in string:
if c.isalpha():
if c.isupper():
shape_char = "X"
else:
shape_char = "x"
elif c.isdigit():
shape_char = "d"
else:
shape_char = c
if shape_char == last:
seq += 1
else:
seq = 0
last = shape_char
if seq < 5:
shape.append(shape_char)
return ''.join(shape)
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def non_sparse(string, prob, cluster, upper_pc, title_pc, lower_pc):
if is_alpha(string):
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return canon_case(string, upper_pc, title_pc, lower_pc)
elif prob >= math.log(0.0001):
return string
else:
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return word_shape(string)
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def asciied(string):
ascii_string = unidecode(string)
return ascii_string.decode('ascii')