Skip to main content

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

Project description

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. 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

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:

Web-UI

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

Demo image

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

uztagger-0.0.1-py3-none-any.whl (3.2 kB view details)

Uploaded Python 3

File details

Details for the file uztagger-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: uztagger-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 3.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.1

File hashes

Hashes for uztagger-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 90014cc7d9ace0e12670466de887a67c916139c48a4cc25031f08ccfb794b7ad
MD5 cdc1880dca2ac3a61e39594d1e287ce9
BLAKE2b-256 0b90431ea863d34f0e6fabb353d3ebe766c3229219caf50ab843387e588ee7e1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page