Skip to content
This repository has been archived by the owner on Aug 17, 2021. It is now read-only.
/ langdetect Public archive
forked from Mimino666/langdetect

Our Language detection libray. Port of Google's language-detection library to Python.

License

Notifications You must be signed in to change notification settings

AdaSupport/langdetect

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

76 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

langdetect

Build Status

Port of Google's language-detection library (version from 03/03/2014) to Python.

Installation

$ pip install langdetect

Supported Python versions 2.7, 3.4+.

Languages

langdetect 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

Clean Language Profiles

Some of the language profiles contain characters that belong to other languages since all the profiles were created automatically. Run the following script to clean the language profiles:

python scripts/clean_language_profiles.py

Basic usage

To detect the language of the text:

>>> from langdetect import detect
>>> detect("War doesn't show who's right, just who's left.")
'en'
>>> detect("Ein, zwei, drei, vier")
'de'

To find out the probabilities for the top languages:

>>> from langdetect import detect_langs
>>> detect_langs("Otec matka syn.")
[sk:0.572770823327, pl:0.292872522702, cs:0.134356653968]

NOTE

Language detection algorithm is non-deterministic, which means that if you try to run it on a text which is either too short or too ambiguous, you might get different results everytime you run it.

To enforce consistent results, call following code before the first language detection:

from langdetect import DetectorFactory
DetectorFactory.seed = 0

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 library is a direct port of Google's language-detection library from Java to Python. All the classes and methods are unchanged, so for more information see the project's website or wiki.

Presentation of the language detection algorithm: http://www.slideshare.net/shuyo/language-detection-library-for-java.

About

Our Language detection libray. Port of Google's language-detection library to Python.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%