VinAIResearch/PhoNLP

PhoNLP: A BERT-based multi-task learning model for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)

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Established

This tool helps researchers and natural language processing practitioners analyze text by breaking down sentences and identifying key information. It takes raw or pre-segmented text as input and outputs detailed linguistic annotations, including parts of speech, named entities (like people or organizations), and grammatical relationships between words. Language model developers and NLP researchers, particularly those working with Vietnamese or other languages with existing annotated corpora, would find this useful for training and evaluating custom models.

149 stars. No commits in the last 6 months. Available on PyPI.

Use this if you need to perform advanced linguistic analysis on text, such as identifying grammatical structures and named entities, especially for languages like Vietnamese.

Not ideal if you're looking for a simple keyword extractor or a tool that doesn't require prior knowledge of linguistic annotation tasks.

natural-language-processing linguistic-analysis text-annotation computational-linguistics vietnamese-language-processing
Stale 6m No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 16 / 25

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Stars

149

Forks

20

Language

Python

License

BSD-3-Clause

Last pushed

Dec 31, 2024

Commits (30d)

0

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