spaCy/spacy/orth.py
2014-11-01 17:39:34 +11:00

156 lines
3.9 KiB
Python

# -*- coding: utf8 -*-
from __future__ import unicode_literals
import unicodedata
from unidecode import unidecode
import math
TAGS = 'adj adp adv conj det noun num pdt pos pron prt punct verb'.upper().split()
# Binary string features
def is_alpha(string):
return string.isalpha()
def is_digit(string):
return string.isdigit()
def is_punct(string):
for c in string:
if not unicodedata.category(c).startswith('P'):
return False
else:
return True
def is_space(string):
return string.isspace()
def is_ascii(string):
for c in string:
if ord(c) >= 128:
return False
else:
return True
def is_title(string):
return string.istitle()
def is_lower(string):
return string.islower()
def is_upper(string):
return string.isupper()
TLDs = set("com|org|edu|gov|net|mil|aero|asia|biz|cat|coop|info|int|jobs|mobi|museum|"
"name|pro|tel|travel|xxx|"
"ac|ad|ae|af|ag|ai|al|am|an|ao|aq|ar|as|at|au|aw|ax|az|ba|bb|bd|be|bf|bg|"
"bh|bi|bj|bm|bn|bo|br|bs|bt|bv|bw|by|bz|ca|cc|cd|cf|cg|ch|ci|ck|cl|cm|cn|"
"co|cr|cs|cu|cv|cx|cy|cz|dd|de|dj|dk|dm|do|dz|ec|ee|eg|eh|er|es|et|eu|fi|"
"fj|fk|fm|fo|fr|ga|gb|gd|ge|gf|gg|gh|gi|gl|gm|gn|gp|gq|gr|gs|gt|gu|gw|gy|"
"hk|hm|hn|hr|ht|hu|id|ie|il|im|in|io|iq|ir|is|it|je|jm|jo|jp|ke|kg|kh|ki|"
"km|kn|kp|kr|kw|ky|kz|la|lb|lc|li|lk|lr|ls|lt|lu|lv|ly|ma|mc|md|me|mg|mh|"
"mk|ml|mm|mn|mo|mp|mq|mr|ms|mt|mu|mv|mw|mx|my|mz|na|nc|ne|nf|ng|ni|nl|no|np|"
"nr|nu|nz|om|pa|pe|pf|pg|ph|pk|pl|pm|pn|pr|ps|pt|pw|py|qa|re|ro|rs|ru|rw|sa|"
"sb|sc|sd|se|sg|sh|si|sj|sk|sl|sm|sn|so|sr|ss|st|su|sv|sy|sz|tc|td|tf|tg|th|"
"tj|tk|tl|tm|tn|to|tp|tr|tt|tv|tw|tz|ua|ug|uk|us|uy|uz|va|vc|ve|vg|vi|vn|vu|"
"wf|ws|ye|yt|za|zm|zw".split('|'))
def is_urlish(string):
# We're looking for things that function in text like URLs. So, valid URL
# or not, anything they say http:// is going to be good.
if string.startswith('http://'):
return True
elif string.startswith('www.') and len(string) >= 5:
return True
# No dots? Not URLish enough
if string[0] == '.' or string[-1] == '.' or '.' not in string:
return False
tld = string.rsplit('.', 1)[1].split(':', 1)[0]
if tld.endswith('/'):
return True
if tld.isalpha() and tld in TLDs:
return True
return False
def is_number(string):
pass
def is_emoticon(string):
pass
# Statistics features
def oft_case(name, thresh):
def wrapped(string, prob, case_stats, tag_stats):
return string
return wrapped
def can_tag(name, thresh=0.5):
def wrapped(string, prob, case_stats, tag_stats):
return string
return wrapped
# String features
def canon_case(string, upper_pc=0.0, title_pc=0.0, lower_pc=0.0):
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()
def word_shape(string):
length = len(string)
shape = []
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)
def non_sparse(string, prob, cluster, upper_pc, title_pc, lower_pc):
if is_alpha(string):
return canon_case(string, upper_pc, title_pc, lower_pc)
elif prob >= math.log(0.0001):
return string
else:
return word_shape(string)
def asciied(string):
ascii_string = unidecode(string)
if not ascii_string:
return '???'
return ascii_string.decode('ascii')