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https://github.com/rspeer/wordfreq.git
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Tokenize Japanese consistently with MeCab
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@ -101,16 +101,15 @@ def wikipedia_deps(dirname_in, languages):
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input_file = max(path_in.glob(
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input_file = max(path_in.glob(
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'{}wiki*.bz2'.format(language)
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'{}wiki*.bz2'.format(language)
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))
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))
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raw_file = wordlist_filename('wikipedia', language, 'txt')
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token_file = wordlist_filename('wikipedia', language, 'tokens.txt')
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token_file = wordlist_filename('wikipedia', language, 'tokens.txt')
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count_file = wordlist_filename('wikipedia', language, 'counts.txt')
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count_file = wordlist_filename('wikipedia', language, 'counts.txt')
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add_dep(lines, 'wiki2text', input_file, raw_file)
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if language == 'ja':
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add_dep(lines, 'tokenize_japanese', raw_file, token_file)
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add_dep(lines, 'count', token_file, count_file)
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else:
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add_dep(lines, 'wiki2tokens', input_file, token_file)
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add_dep(lines, 'wiki2tokens', input_file, token_file)
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if language == 'ja':
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mecab_token_file = wordlist_filename('wikipedia', language, 'mecab-tokens.txt')
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add_dep(lines, 'tokenize_japanese', token_file, mecab_token_file)
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add_dep(lines, 'count', mecab_token_file, count_file)
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else:
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add_dep(lines, 'count', token_file, count_file)
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add_dep(lines, 'count', token_file, count_file)
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return lines
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return lines
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@ -174,6 +173,11 @@ def twitter_deps(prefix_in, languages):
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extra='wordfreq_builder/tokenizers.py')
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extra='wordfreq_builder/tokenizers.py')
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count_file = wordlist_filename('twitter', language, 'counts.txt')
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count_file = wordlist_filename('twitter', language, 'counts.txt')
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if language == 'ja':
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mecab_token_file = wordlist_filename('twitter', language, 'mecab-tokens.txt')
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add_dep(lines, 'tokenize_japanese', token_file, mecab_token_file)
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add_dep(lines, 'count', mecab_token_file, count_file, extra='wordfreq_builder/tokenizers.py')
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else:
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add_dep(lines, 'count', token_file, count_file, extra='wordfreq_builder/tokenizers.py')
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add_dep(lines, 'count', token_file, count_file, extra='wordfreq_builder/tokenizers.py')
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return lines
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return lines
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@ -1,6 +1,6 @@
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from lumi_science.text_readers.rosette_readers import RosetteReader
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from lumi_science.text_readers.rosette_readers import RosetteReader
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from html.entities import name2codepoint
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from html.entities import name2codepoint
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from wordfreq import tokenize, TOKEN_RE
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from wordfreq import TOKEN_RE
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import re
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import re
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@ -1,4 +1,4 @@
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from wordfreq import tokenize
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from wordfreq import simple_tokenize
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from collections import defaultdict
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from collections import defaultdict
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from operator import itemgetter
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from operator import itemgetter
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from ftfy import fix_text
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from ftfy import fix_text
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@ -16,7 +16,7 @@ def count_tokens(filename):
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counts = defaultdict(int)
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counts = defaultdict(int)
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with open(filename, encoding='utf-8') as infile:
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with open(filename, encoding='utf-8') as infile:
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for line in infile:
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for line in infile:
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for token in tokenize(line.strip()):
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for token in simple_tokenize(line.strip()):
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counts[token] += 1
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counts[token] += 1
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return counts
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return counts
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@ -33,7 +33,7 @@ def read_freqs(filename, cutoff=0):
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val = float(strval)
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val = float(strval)
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if val < cutoff:
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if val < cutoff:
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break
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break
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for token in tokenize(key):
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for token in simple_tokenize(key):
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token = fix_text(token)
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token = fix_text(token)
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total += val
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total += val
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# Use += so that, if we give the reader concatenated files with
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# Use += so that, if we give the reader concatenated files with
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