#179 · Primary category: NLP Tools & Text Processing

VnCoreNLP

dependency-parsing java named-entity-recognition natural-language-processing ner nlp parsing pos-tagger pos-tagging python3 rdrsegmenter sentence-segmentation vietnamese vietnamese-nlp vietnamese-tokenizer vncorenlp vnmarmot word-segmentation word-segmenter

A Vietnamese natural language processing toolkit (NAACL 2018)

Project last updated:02/12/23

GitHub Stars

677

Forks

153

Contributors

4

License

GPL-3.0

Why we included this project

VnCoreNLP is a good fit when your project needs to process Vietnamese text and you want the usual annotation steps handled in one place. It covers word segmentation, POS tagging, named entity recognition, and dependency parsing, the four steps most Vietnamese NLP work depends on. There are no external dependencies to install, and you can drive it from the command line or from Python and Java code, which makes it easy to slot into an existing pipeline. It also comes with a published NAACL 2018 paper, so the models are documented and citable rather than a mystery. If Vietnamese is your focus rather than a side language, this is a solid, self-contained place to start.

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