Statistics about word frequencies in different languages based on a corpus of movie subtitles as extracted by the Frequency Words (https://github.com/hermitdave/FrequencyWords) project.

Currently supported languages (or language codes to be more precise :):

"da", "de", "el", "en", "es", "fr", "it", "nl", "no", "pl", "pt", "ro", "zh-CN" 

Usage Examples

Getting the info about a given word

>> from wordstats import Word
>> print (Word.stats('bleu', 'fr'))
bleu: (lang: fr, rank: 1521, freq: 9.42, imp: 9.42, diff: 0.03, klevel: 2)

Comparing the difficulty of two German words

>> from wordstats import Word
>> Word.stats('blauzungekrankenheit','de').difficulty > Word.stats('blau','de').difficulty
True

Top 10 most used words in Dutch

>> from wordstats import LanguageInfo
>> Dutch = LanguageInfo.load('nl')
>> print(Dutch.all_words()[:10])
['ik', 'je', 'het', 'de', 'dat', 'is', 'een', 'niet', 'en', 'van']

Words common across all the languages

Given that the corpus is based on subtitles, some common names have sliped in. The common_words() function returns a list.

>> from wordstats.common_words import common_words
>> for each in common_words():
>>     if len(each) > 9:
>>         print(each)
washington
christopher
enterprise

Words that are the same in Polish and Romanian

>> from wordstats import LanguageInfo
>> Polish = LanguageInfo.load("pl")
>> Romanian = LanguageInfo.load("ro")
>> for each in Polish.all_words():
>>     if each in Romanian.all_words():
>>         if len(each) > 5 and each not in common_words():
>>             print(each)
telefon
moment
prezent
interes
...

How common a word is, according to wordfreq

Word.stats() is based on subtitles. For text like news, where subtitles call everyday words rare, Word.zipf_frequency() uses the lists of wordfreq, which combine many sources. It answers exactly as wordfreq.zipf_frequency does: log10 of the occurrences per billion words, so 3 is once per million and 7 is "the".

>> from wordstats import Word
>> Word.zipf_frequency('hus', 'da')
5.26

Needs the wordfreq extra (see Installation).

Memory

Every list, wordstats' own and wordfreq's, is built once into a read-only SQLite file and read through mmap, so all processes on a machine share one copy in the OS page cache instead of each holding its own (for all of wordstats' languages: ~6 MB per process instead of ~1.1 GB). WORDSTATS_CACHE_DIR sets where the files go; by default inside the package, or the temp dir if that isn't writable. Point it at a persistent volume to build each file only once across containers.

Installation

pip install wordstats

or, with Word.zipf_frequency:

pip install 'wordstats[wordfreq]'