mirror of https://github.com/morpheus65535/bazarr
71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
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from collections import defaultdict
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import re
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import six
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from six.moves import xrange
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from .ngram import NGram
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class LangProfile(object):
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MINIMUM_FREQ = 2
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LESS_FREQ_RATIO = 100000
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ROMAN_CHAR_RE = re.compile(r'^[A-Za-z]$')
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ROMAN_SUBSTR_RE = re.compile(r'.*[A-Za-z].*')
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def __init__(self, name=None, freq=None, n_words=None):
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self.freq = defaultdict(int)
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if freq is not None:
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self.freq.update(freq)
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if n_words is None:
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n_words = [0] * NGram.N_GRAM
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self.name = name
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self.n_words = n_words
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def add(self, gram):
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'''Add n-gram to profile.'''
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if self.name is None or gram is None: # Illegal
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return
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length = len(gram)
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if length < 1 or length > NGram.N_GRAM: # Illegal
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return
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self.n_words[length - 1] += 1
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self.freq[gram] += 1
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def omit_less_freq(self):
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'''Eliminate below less frequency n-grams and noise Latin alphabets.'''
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if self.name is None: # Illegal
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return
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threshold = max(self.n_words[0] // self.LESS_FREQ_RATIO, self.MINIMUM_FREQ)
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roman = 0
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for key, count in list(six.iteritems(self.freq)):
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if count <= threshold:
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self.n_words[len(key)-1] -= count
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del self.freq[key]
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elif self.ROMAN_CHAR_RE.match(key):
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roman += count
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# roman check
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if roman < self.n_words[0] // 3:
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for key, count in list(six.iteritems(self.freq)):
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if self.ROMAN_SUBSTR_RE.match(key):
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self.n_words[len(key)-1] -= count
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del self.freq[key]
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def update(self, text):
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'''Update the language profile with (fragmented) text.
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Extract n-grams from text and add their frequency into the profile.
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'''
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if text is None:
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return
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text = NGram.normalize_vi(text)
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gram = NGram()
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for ch in text:
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gram.add_char(ch)
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for n in xrange(1, NGram.N_GRAM+1):
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self.add(gram.get(n))
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