calamanCy: A Tagalog Natural Language Processing Toolkit

Lester James Miranda


Abstract
We introduce calamanCy, an open-source toolkit for constructing natural language processing (NLP) pipelines for Tagalog. It is built on top of spaCy, enabling easy experimentation and integration with other frameworks. calamanCy addresses the development gap by providing a consistent API for building NLP applications and offering general-purpose multitask models with out-of-the-box support for dependency parsing, parts-of-speech (POS) tagging, and named entity recognition (NER). calamanCy aims to accelerate the progress of Tagalog NLP by consolidating disjointed resources in a unified framework.The calamanCy toolkit is available on GitHub: https://github.com/ljvmiranda921/calamanCy.
Anthology ID:
2023.nlposs-1.1
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:
1–7
Language:
URL:
https://aclanthology.org/2023.nlposs-1.1
DOI:
10.18653/v1/2023.nlposs-1.1
Bibkey:
Cite (ACL):
Lester James Miranda. 2023. calamanCy: A Tagalog Natural Language Processing Toolkit. In Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023), pages 1–7, Singapore. Association for Computational Linguistics.
Cite (Informal):
calamanCy: A Tagalog Natural Language Processing Toolkit (Miranda, NLPOSS-WS 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.nlposs-1.1.pdf