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.

翻译：我们介绍calamanCy，一个用于构建他加禄语自然语言处理（NLP）流程的开源工具包。该工具基于spaCy构建，支持便捷的实验集成及与其他框架的交互。calamanCy通过提供一致的应用程序编程接口（API）来构建NLP应用，并配备开箱即用的通用多任务模型（支持依存句法分析、词性标注和命名实体识别），从而填补了该语言的发展空白。该工具旨在通过将分散的资源整合至统一框架中，加速他加禄语NLP的研究进展。calamanCy工具包已发布于GitHub平台：https://github.com/ljvmiranda921/calamanCy。