calamanCy: A Tagalog Natural Language Processing Toolkit
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 11 of its 32 references that are in the map. First posted on arXiv 13 Nov 2023.
Builds on
11 of 32 references.
References · 11
- 2017Attention Is All You Needcited by 59,932
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
- 2016Enriching Word Vectors with Subword Informationcited by 1,578
- 2019ScispaCy: Fast and Robust Models for Biomedical Natural Language Processingcited by 244
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- 2021Improving Large-scale Language Models and Resources for Filipinocited by 19
- 2020Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasetscited by 10
- 2021DaCy: A Unified Framework for Danish NLPcited by 10
- 2022HuSpaCy: an industrial-strength Hungarian natural language processing toolkitcited by 8
- 2022Multi hash embeddings in spaCycited by 2
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.