PyThaiNLP: Thai Natural Language Processing in Python
By Wannaphong Phatthiyaphaibun, Korakot Chaovavanich, Charin Polpanumas, Arthit Suriyawongkul, Lalita Lowphansirikul, Pattarawat Chormai, Peerat Limkonchotiwat, Thanathip Suntorntip, Can Udomcharoenchaikit. 2023
141 citations recorded by the source corpus.
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.
Subfields: Artificial Intelligence, Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Luke S. Zettlemoyer
- Angela Fan
- Michael Auli
- Graham Neubig
- Edouard Grave
- Jason Aaron Edward Weston
- Furu Wei
- Michael Lewis
In Natural Language Processing
- Luke S. Zettlemoyer
- Angela Fan
- Michael Auli
- Graham Neubig
- Jason Aaron Edward Weston
- Edouard Grave
- Vishrav Chaudhary
- Armand Joulin
Citations in the corpus
- Beyond English-Centric Multilingual Machine Translation (2020, methodology): “9. https://github.com/anoopkunchukuttan/indic_nlp_library 10. https://github.com/neubig/kytea 11. https://github.com/PyThaiNLP/pythainlp 12. http://alt.qcri.org/tools/arabic-normalizer/ 13. https://pypi.org/project/python-mecab-ko/ 14. https://github.com/rsennrich/wmt16-scripts/blob/master/preproces”