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.
@article{arxiv.2311.07171,
title = {calamanCy: A Tagalog Natural Language Processing Toolkit},
author = {Lester James V. Miranda},
journal= {arXiv preprint arXiv:2311.07171},
year = {2023}
}
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To be published in The Third Workshop for NLP-OSS at EMNLP 2023