Course Q&A

In Vietnam, computational linguistics faces challenges such as limited resources for developing large-scale annotated corpora, a shortage of trained professionals, and the complexity of Vietnamese language features, including tonal variations and dialects. However, there are significant opportunities, including the growing interest in AI and NLP technologies, government support for tech innovation, and the potential to leverage local languages for applications in education, healthcare, and e-commerce. Collaborative efforts between academia and industry can enhance research capabilities, while the increasing availability of digital content in Vietnamese provides a rich foundation for developing more effective linguistic models and tools.

Vietnam's computational linguistics field has obstacles such as a scarcity of specialised manpower and a dearth of multilingual datasets. Nevertheless, there are numerous potential in the development of Vietnamese language processing tools, improving machine translation for local dialects, and utilising increasing technology investments to further NLP research and applications that are specifically designed to meet regional requirements.

Vietnam's computational linguistics field faces challenges like diverse dialects and scarce resources but also sees opportunities due to its fast-growing tech sector and strong government support for AI. The country's high mobile usage and digitalization efforts provide a promising platform for developing and applying new linguistic tools. Overcoming these challenges through collaborations, investment in local content, and education will be key to advancing this field in Vietnam.