PyCantonese: Cantonese Linguistics and NLP in Python

Jackson Lee, Litong Chen, Charles Lam, Chaak Ming Lau, Tsz-Him Tsui


Abstract
This paper introduces PyCantonese, an open-source Python library for Cantonese linguistics and natural language processing. After the library design, implementation, corpus data format, and key datasets included are introduced, the paper provides an overview of the currently implemented functionality: stop words, handling Jyutping romanization, word segmentation, part-of-speech tagging, and parsing Cantonese text.
Anthology ID:
2022.lrec-1.711
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
6607–6611
Language:
URL:
https://aclanthology.org/2022.lrec-1.711
DOI:
Bibkey:
Cite (ACL):
Jackson Lee, Litong Chen, Charles Lam, Chaak Ming Lau, and Tsz-Him Tsui. 2022. PyCantonese: Cantonese Linguistics and NLP in Python. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 6607–6611, Marseille, France. European Language Resources Association.
Cite (Informal):
PyCantonese: Cantonese Linguistics and NLP in Python (Lee et al., LREC 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-1/2022.lrec-1.711.pdf