PyThaiNLP: Thai Natural Language Processing in Python
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866915255512203264 |
|---|---|
| author | Phatthiyaphaibun, Wannaphong Chaovavanich, Korakot Polpanumas, Charin Suriyawongkul, Arthit Lowphansirikul, Lalita Chormai, Pattarawat Limkonchotiwat, Peerat Suntorntip, Thanathip Udomcharoenchaikit, Can |
| author_facet | Phatthiyaphaibun, Wannaphong Chaovavanich, Korakot Polpanumas, Charin Suriyawongkul, Arthit Lowphansirikul, Lalita Chormai, Pattarawat Limkonchotiwat, Peerat Suntorntip, Thanathip Udomcharoenchaikit, Can |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_04649 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | PyThaiNLP: Thai Natural Language Processing in Python Phatthiyaphaibun, Wannaphong Chaovavanich, Korakot Polpanumas, Charin Suriyawongkul, Arthit Lowphansirikul, Lalita Chormai, Pattarawat Limkonchotiwat, Peerat Suntorntip, Thanathip Udomcharoenchaikit, Can Computation and Language I.2.7 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. |
| title | PyThaiNLP: Thai Natural Language Processing in Python |
| topic | Computation and Language I.2.7 |
| url | https://arxiv.org/abs/2312.04649 |