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code review fixes to wordfreq.tokens

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This commit is contained in:
Robyn Speer 2018-03-14 15:07:45 -04:00
parent de81a23b9d
commit c57032d5cb
1 changed files with 13 additions and 11 deletions
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wordfreq/tokens.py
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@ -211,8 +211,7 @@ def tokenize(text, lang, include_punctuation=False, external_wordlist=False):
# This is the default case where we use the regex tokenizer. First
# let's complain a bit if we ended up here because we don't have an
# appropriate tokenizer.
if info['tokenizer'] != 'regex':
if lang not in _WARNED_LANGUAGES:
if info['tokenizer'] != 'regex' and lang not in _WARNED_LANGUAGES:
logger.warning(
"The language '{}' is in the '{}' script, which we don't "
"have a tokenizer for. The results will be bad."
@ -232,9 +231,12 @@ def lossy_tokenize(text, lang, include_punctuation=False, external_wordlist=Fals
In particular:
- If a token has 2 adjacent digits, all its digits will be replaced with
the digit '0', so that frequencies for numbers don't have to be counted
separately. This is similar to word2vec, which replaces them with '#'.
- Any sequence of 2 or more adjacent digits, possibly with intervening
punctuation such as a decimal point, will replace each digit with '0'
so that frequencies for numbers don't have to be counted separately.
This is similar to but not quite identical to the word2vec Google News
data, which replaces digits with '#' in tokens with more than one digit.
- In Chinese, unless Traditional Chinese is specifically requested using
'zh-Hant', all characters will be converted to Simplified Chinese.