Vietnamese Natural Language Understanding

Vietnamese Natural Language Understanding (VNLU) is a branch of Natural Language Processing (NLP) that focuses on understanding and parsing textual and speech data in Vietnamese. Its goal is to enable computers to accurately recognize, understand, and respond to the complex grammatical structures and semantic meanings of Vietnamese through algorithms and models, thereby achieving efficient human-computer interaction. VNLU has significant application value in areas such as machine translation, sentiment analysis, and information retrieval, contributing to the advancement of Vietnamese information processing technology and improving communication efficiency and service quality in multilingual environments.