PyThaiNLP: Thai Natural Language Processing in Python

Wannaphong Phatthiyaphaibun, Korakot Chaovavanich, Charin Polpanumas, Arthit Suriyawongkul, Lalita Lowphansirikul +4 more
12/7/2023
cs.CL

Official code: PyThaiNLP/pythainlp (1,149 stars, Apache-2.0, last commit 2026-05-01).

Abstract

We present PyThaiNLP, a free and open-source natural language processing (NLP) library for Thai language implemented in Python. It provides a wide range of software, models, and datasets for Thai language. We first provide a brief historical context of tools for Thai language prior to the development of PyThaiNLP. We then outline the functionalities it provided as well as datasets and pre-trained language models. We later summarize its development milestones and discuss our experience during its development. We conclude by demonstrating how industrial and research communities utilize PyThaiNLP in their work. The library is freely available at https://github.com/pythainlp/pythainlp.

View on arXivView PDF

Code Implementations(1)

PyThaiNLP/pythainlpOfficial100%
Apache-2.0

Thai natural language processing in Python

1,149300Shell, PythonJun 23, 20165 months agoApache-2.0
computational-linguisticshacktoberfesthacktoberfest-acceptednatural-language-processingnlp-library+9 more

Similar Papers

HugNLP: A Unified and Comprehensive Library for Natural Language Processing

90% match1 repo2402023

Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities

88% match1 repo172023

calamanCy: A Tagalog Natural Language Processing Toolkit

88% match1 repo712023

LatinCy: Synthetic Trained Pipelines for Latin NLP

87% match2023

Exploring the Landscape of Natural Language Processing Research

86% match1 repo132023

Evolution of Natural Language Processing Technology: Not Just Language Processing Towards General Purpose AI

84% match2023

Cite this paper

@article{phatthiyaphaibun2023pythainlp,
  title  = {PyThaiNLP: Thai Natural Language Processing in Python},
  author = {Wannaphong Phatthiyaphaibun and Korakot Chaovavanich and Charin Polpanumas and Arthit Suriyawongkul and Lalita Lowphansirikul and Pattarawat Chormai and Peerat Limkonchotiwat and Thanathip Suntorntip and Can Udomcharoenchaikit},
  year   = {2023},
  eprint = {2312.04649},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2312.04649v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2312.04649.svg)](https://codeofpaper.com/paper/2312.04649)

Discussion