  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.
