iskm/wordfreq
1
0
Fork 0
mirror of https://github.com/rspeer/wordfreq.git synced 2024-12-23 09:21:37 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

replace the literal 10 with the constant INFERRED_SPACE_FACTOR

Browse Source 
Former-commit-id: 7a3ea2bf79
This commit is contained in:
Robyn Speer 2015-09-22 16:46:07 -04:00
parent 01f9c07c33
commit 13642d6a4d
1 changed files with 9 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
wordfreq/__init__.py
View File

@ -21,6 +21,14 @@ DATA_PATH = pathlib.Path(resource_filename('wordfreq', 'data'))
# for the fact that token boundaries were inferred.
SPACELESS_LANGUAGES = {'zh', 'ja'}
# We'll divide the frequency by 10 for each token boundary that was inferred.
# (We determined the factor of 10 empirically by looking at words in the
# Chinese wordlist that weren't common enough to be identified by the
# tokenizer. These words would get split into multiple tokens, and their
# inferred frequency would be on average 9.77 times higher than their actual
# frequency.)
INFERRED_SPACE_FACTOR = 10.0
# simple_tokenize is imported so that other things can import it from here.
# Suppress the pyflakes warning.
simple_tokenize = simple_tokenize
@ -190,13 +198,7 @@ def _word_frequency(word, lang, wordlist, minimum):
freq = 1.0 / one_over_result
if lang in SPACELESS_LANGUAGES:
# Divide the frequency by 10 for each token boundary that was inferred.
# (We determined the factor of 10 empirically by looking at words in
# the Chinese wordlist that weren't common enough to be identified by
# the tokenizer. These words would get split into multiple tokens, and
# their inferred frequency would be on average 9.77 times higher than
# their actual frequency.)
freq /= 10 ** (len(tokens) - 1)
freq /= INFERRED_SPACE_FACTOR ** (len(tokens) - 1)
return max(freq, minimum)