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Vietnamese Semantic Tagging System (ViSaS)

ViSaS Research Project

Partners: VinNLP, VinUniversity, Vietnam & UCREL, Lancaster University, UK

ViSaS is an open-source project building a semantic tagging system for Vietnamese inspired by the USAS/AraSAS frameworks. It will support cross-linguistic semantic analysis and multilingual NLP applications, using the PyMUSAS platform.

  • Develop a Vietnamese semantic lexicon and tagger
  • Align Vietnamese terms with English semantic domains
  • Adapt Vietnamese NLP tools (lemmatisers, analysers)
  • Integrate rule-based and LLM-assisted semantic tagging
  • Evaluate tagging consistency across corpora and chatbots

Duration: 12 months (Starting May 2025)

ViUSAS Team

Meet the core team behind the Vietnamese Semantic Tagging System (ViSaS)


ViSAS Collaborations & Partners

ViSAS is a collaborative project that aims towards enriching low-resource languages.