whiletruelearn / langua

A faster port of https://code.google.com/archive/p/language-detection/ in Python (WIP)

langua

A faster port of https://code.google.com/archive/p/language-detection/ in Python

Installation

$ pip install langua

Supported Python versions 2.7, 3.4+.

Languages

langua supports 55 languages out of the box (ISO 639-1 codes):

af, ar, bg, bn, ca, cs, cy, da, de, el, en, es, et, fa, fi, fr, gu, he,
hi, hr, hu, id, it, ja, kn, ko, lt, lv, mk, ml, mr, ne, nl, no, pa, pl,
pt, ro, ru, sk, sl, so, sq, sv, sw, ta, te, th, tl, tr, uk, ur, vi, zh-cn, zh-tw

Basic usage

To detect the language of the text:

>>> from langua import Predict
>>> p = Predict()
>>> p.get_lang("Mother")
'en'
>>> p.get_lang(u"தாய்")
'ta'
>>> p.get_lang(u"അമ്മ")
'ml'

Benchmark Results

>>> from langua import Predict
>>> p = Predict()
>>> %%timeit
   ...: p.get_lang(u"ഇംഗ്ലീഷ്")
   ...:
1000 loops, best of 3: 721 µs per loop


>>> from langdetect import detect
>>> %%timeit
   ...: detect(u"ഇംഗ്ലീഷ്")
1000 loops, best of 3: 1.07 ms per loop

How to add new language?

You need to create a new language profile. The easiest way to do it is to use the langdetect.jar tool, which can generate language profiles from Wikipedia abstract database files or plain text.

Wikipedia abstract database files can be retrieved from "Wikipedia Downloads" (http://download.wikimedia.org/). They form '(language code)wiki-(version)-abstract.xml' (e.g. 'enwiki-20101004-abstract.xml' ).

usage: java -jar langdetect.jar --genprofile -d [directory path] [language codes]

• Specify the directory which has abstract databases by -d option.
• This tool can handle gzip compressed file.

Remark: The database filename in Chinese is like 'zhwiki-(version)-abstract-zh-cn.xml' or zhwiki-(version)-abstract-zh-tw.xml', so that it must be modified 'zh-cnwiki-(version)-abstract.xml' or 'zh-twwiki-(version)-abstract.xml'.

To generate language profile from a plain text, use the genprofile-text command.

usage: java -jar langdetect.jar --genprofile-text -l [language code] [text file path]

For more details see language-detection Wiki.

Original project

This is a vectorized modification of Langdetect . There are some numpy optimizations and other tweaks which have improved the performance of predicting the language class.

LangDetect was a port of another project called language-detection

Pushing to PyPi

Refer this