PyThaiNLP: Thai Natural Language Processing in Python

Wannaphong Phatthiyaphaibun, Korakot Chaovavanich, Charin Polpanumas, Arthit Suriyawongkul, Lalita Lowphansirikul, Pattarawat Chormai, Peerat Limkonchotiwat, Thanathip Suntorntip, Can Udomcharoenchaikit

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.
Anthology ID:
2023.nlposs-1.4
Volume:
Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)
Month:
December
Year:
2023
Address:
Singapore
Editors:
Liling Tan, Dmitrijs Milajevs, Geeticka Chauhan, Jeremy Gwinnup, Elijah Rippeth
Venues:
NLPOSS | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
25–36
Language:
URL:
https://preview.aclanthology.org/remove-affiliations/2023.nlposs-1.4/
DOI:
10.18653/v1/2023.nlposs-1.4
Bibkey:
Cite (ACL):
Wannaphong Phatthiyaphaibun, Korakot Chaovavanich, Charin Polpanumas, Arthit Suriyawongkul, Lalita Lowphansirikul, Pattarawat Chormai, Peerat Limkonchotiwat, Thanathip Suntorntip, and Can Udomcharoenchaikit. 2023. PyThaiNLP: Thai Natural Language Processing in Python. In Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023), pages 25–36, Singapore. Association for Computational Linguistics.
Cite (Informal):
PyThaiNLP: Thai Natural Language Processing in Python (Phatthiyaphaibun et al., NLPOSS 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/remove-affiliations/2023.nlposs-1.4.pdf
PDF Search Fix data