uztagger 0.0.3

uztagger | Uzbek Morphological Part of Speech (POS) Tagging on Python

uztagger

https://pypi.org/project/uztagger
https://github.com/UlugbekSalaev/uztagger

uztagger tool is focused to make tagging sentence with morphological Part of Speech (POS) tagset of Uzbek word based on morphemes and limited number of lexicon. The tool includes list of POS tagset, tagging method. It is created as a python library and uploaded to PyPI. It is simply easy to use in your python project or other programming language projects via the API.

About project

The tool is focused to make tagging sentence with morphological Part of Speech (POS) tagset of Uzbek word based on morphemes. The tool includes list of POS tagset, tagging method.

Quick links

• Github
• PyPI
• Web-UI

Demo

You can use web interface.

Features

• Tagging
• POS tag list
• Help function

Usage

Three options to run uztagger:

• pip
• API
• Web interface

pip installation

To install uztagger, simply run:

pip install uztagger

After installation, use in python like following:

# import the library
from uztagger import Tagger
# create an object 
tagger = Tagger()
# call tagging method
tagger.predict_pos('Bizlar bugun maktabga bormoqchimiz.')

API

API configurations:

• Method: GET

• Response type: string

• URL: https://uzbeknlp.herokuapp.com/uztagger

  • Parameters: sentence:string
  • Sample Request: https://uzbeknlp.herokuapp.com/uztagger?sentence=maktabimda

Web-UI

The web interface created to use easily the library: You can use web interface here.

Options

When you use PyPI or API, you should use following options as POS tag of a word which is optional parameters of lemmatize() and analyze() metods:
NOUN Noun
VERB Verb
ADJ Adjective
NUM Numerical
PRN Pronoun
ADV Adverb

Result Explaining

The method predict_pos returns list of sentences in a string type, that an item of the list contain tuples for each token of the sentence with following format: (token, pos), for POS tag list, see POS Tag List section on below.

Result from tagger method

Documentation

See here.

Citation

@misc{uztagger,
  title={{uztagger}: Morphological Part of Speech Tagger Tool for Uzbek},
  url={https://github.com/UlugbekSalaev/uztagger},
  note={Software available from https://github.com/UlugbekSalaev/uztagger},
  author={
    Ulugbek Salaev},
  year={2022},
}

Contact

For help and feedback, please feel free to contact the author.