langua 1.0.10

Faster port of Language detection built by Shuyo in Python

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Description: # 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](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 langua import Predict
>>> p = Predict()
>>> p.get_lang("Mother")
'en'
>>> p.get_lang(u"தாய்")
'ta'
>>> p.get_lang(u"അമ്മ")
'ml'
```

Benchmark Results
==================

```python
>>> 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](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 is a vectorized modification of [Langdetect](https://github.com/Mimino666/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](https://code.google.com/p/language-detection/)

Pushing to PyPi
=================

Refer [this](https://packaging.python.org/tutorials/distributing-packages/)

Keywords: language detection library
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6