mirror of
https://github.com/rspeer/wordfreq.git
synced 2024-12-23 17:31:41 +00:00
code review fixes to __init__
This commit is contained in:
parent
8656688b0b
commit
de81a23b9d
@ -18,12 +18,6 @@ logger = logging.getLogger(__name__)
|
||||
CACHE_SIZE = 100000
|
||||
DATA_PATH = pathlib.Path(resource_filename('wordfreq', 'data'))
|
||||
|
||||
# Chinese and Japanese are written without spaces. In Chinese, in particular,
|
||||
# we have to infer word boundaries from the frequencies of the words they
|
||||
# would create. When this happens, we should adjust the resulting frequency
|
||||
# to avoid creating a bias toward improbable word combinations.
|
||||
INFERRED_SPACE_LANGUAGES = {'zh'}
|
||||
|
||||
# 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
|
||||
@ -269,6 +263,10 @@ def word_frequency(word, lang, wordlist='best', minimum=0.):
|
||||
- 'small': a wordlist built from at least 3 sources, containing word
|
||||
frquencies of 10^-6 and higher
|
||||
- 'best': uses 'large' if available, and 'small' otherwise
|
||||
|
||||
The value returned will always be at least as large as `minimum`.
|
||||
You could set this value to 10^-8, for example, to return 10^-8 for
|
||||
unknown words in the 'large' list instead of 0, avoiding a discontinuity.
|
||||
"""
|
||||
args = (word, lang, wordlist, minimum)
|
||||
try:
|
||||
|
Loading…
Reference in New Issue
Block a user