1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
|
langdetect
==========
Port of Google's [language-detection](https://code.google.com/p/language-detection/) library (version from 03/03/2014) to Python.
Installation
============
$ pip install langdetect
Supported Python versions 2.6, 2.7, 3.x.
Languages
=========
``langdetect`` supports 55 languages out of the box ([ISO 639-1 codes](https://en.wikipedia.org/wiki/List_of_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:
```python
>>> 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:
```python
>>> 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:
```python
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](https://github.com/shuyo/language-detection/raw/master/lib/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/](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](https://code.google.com/archive/p/language-detection/wikis/Tools.wiki).
Original project
================
This library is a direct port of Google's [language-detection](https://code.google.com/p/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](http://www.slideshare.net/shuyo/language-detection-library-for-java).
|
