Vietnamese Language

Vietnamese language processing is a rapidly evolving field focused on developing computational tools to understand and generate Vietnamese text and speech. Current research emphasizes the development and application of large language models (LLMs), such as those based on BERT and Transformer architectures, for tasks including machine translation, summarization, question answering, and sentiment analysis, often addressing challenges posed by the language's unique characteristics and the limited availability of annotated data. These advancements are crucial for bridging the language gap in various applications, from improving access to information and healthcare to enhancing cross-cultural communication and supporting the development of Vietnamese-specific AI tools.