Metadata-Version: 2.1
Name: UzMorphAnalyser
Version: 0.0.5
Summary: UzMorphAnalyser | Uzbek Morphological Analyser on Python
Home-page: https://github.com/UlugbekSalaev/UzMorphAnalyser
Author: Ulugbek Salaev
Author-email: ulugbek0302@gmail.com
Project-URL: Bug Tracker, https://github.com/UlugbekSalaev/UzMorphAnalyser/issues
Keywords: mophology,uzbek-language,stemmer,lemmatize,morphological analysis
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

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  <h3 align="center">UzMorphAnalyser | Morphological analyser for Uzbek language</h3>
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    Morphological Analyser for Uzbek language on Python
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<!-- ABOUT THE PROJECT -->
## About The Project
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<img src="https://github.com/UlugbekSalaev/UzMorphAnalyser/blob/main/src/web-uinterface.png?raw=true" width = "600" Alt = "Web-interface of the tool">
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Feel free to use the tool presented in this project, and if you find it useful, plese make sure to cite the paper [here](...) (coming soon...)
Demo of the web-based transliteration tool can be seen [here](https://nlp.urdu.uz/?menu=translit).


In this paper, we presented a Python code, a web tool, and an API created for the Uzbek language that performs machine transliteration between two popularly used Cyrillic and Latin alphabets, as well as a newly reformed version of the Latin alphabet, which, according to the governmental decree, all legal texts will have been completely adapted to by year 2023.

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## Installation
### Python
<code>pip install UzTransliterator</code>
<br><b>Source:</b> https://pypi.org/project/UzMorphAnalyser/
<br><br><b>Using</b><br>
<code>from UzTransliterator import UzTransliterator</code>
<br><code>obj = UzTransliterator.UzTransliterator()</code>
<br><code>print(obj.transliterate("маткаб", from_="cyr", to="lat"))</code>
<br>Output: <code>maktab</code>

### Options 
<code>from_='cyr', to='lat'</code><br>
<code>from_='cyr', to='nlt'</code><br>
<code>from_='lat', to='cyr'</code><br>
<code>from_='lat', to='nlt'</code><br>
<code>from_='nlt', to='cyr'</code><br>
<code>from_='nlt', to='lat'</code><br>

### Web Interface
 https://nlp.urdu.uz/?menu=translit
    
### API
<b>URL:</b> https://uz-translit.herokuapp.com/translit
<br><b>Methods:</b> GET, POST<br><b>Parametres:</b> <code>text:str</code>, <code>from_:str</code>, <code>to:str</code>
<br><b>Example Request:</b> https://uz-translit.herokuapp.com/translit?text=мактаб&from_=cyr&to=lat

## Note
New latin alphabet has some difference than Latin. Main changing is presented in following as format Latin - New Latin:
<br>“G‘, g‘” — “Ḡ, ḡ”
<br>“O‘, o‘” — “Ō, ō”
<br>“Sh, sh” — “Ş, ş”
<br>“Ch, ch” — “Ç ç”

### Built With

Programming language used:

* [Python](https://www.python.org/)

These are the major libraries used inside Python:

* [scikit-learn : A set of python modules for machine learning](https://scikit-learn.org/stable/)


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## License

Distributed under the MIT LICENSE. See `LICENSE.txt` for more information.

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