calamanCy: A Tagalog Natural Language Processing Toolkit

Lester James V. Miranda
11/13/2023
cs.CL

Official code: ljvmiranda921/calamanCy (71 stars, MIT, last commit 2025-07-20).

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.

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Code Implementations(1)

ljvmiranda921/calamanCyOfficial100%
MIT

NLP pipelines for Tagalog using spaCy

716HTML, ShellOct 17, 20221 years agoMIT
computational-linguisticslow-resource-languageslow-resource-nlpmachine-learningnatural-language-processing+3 more

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Cite this paper

@article{miranda2023calamancy,
  title  = {calamanCy: A Tagalog Natural Language Processing Toolkit},
  author = {Lester James V. Miranda},
  year   = {2023},
  eprint = {2311.07171},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2311.07171v1}
}

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