ljvmiranda921/calamanCy
NLP pipelines for Tagalog using spaCy
This tool helps you automatically understand and process text written in Tagalog. By inputting Tagalog sentences, it can identify parts of speech, break down sentence structure, and recognize named entities like people or places. It's designed for anyone working with large volumes of Tagalog text, such as researchers, linguists, or data analysts.
No commits in the last 6 months. Available on PyPI.
Use this if you need to extract structured information or perform linguistic analysis on Tagalog text.
Not ideal if your text is in a language other than Tagalog or if you only need very basic text operations like counting words.
Stars
67
Forks
6
Language
Python
License
MIT
Category
Last pushed
Jul 20, 2025
Commits (30d)
0
Dependencies
4
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/ljvmiranda921/calamanCy"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
nltk/nltk
NLTK Source
explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
undertheseanlp/underthesea
Underthesea - Vietnamese NLP Toolkit
stanfordnlp/stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many...
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)