Professor of Computational Linguistics and Natural Language Processing
School of Foreign Languages and the
School of Software Technology
Dalian University of Technology, Dalian, China
Dr. Dongyu Zhang is a full professor at Dalian University of Technology, China, specializing in computational linguistics, natural language processing (NLP), and artificial intelligence (AI). She holds an MA in Applied Linguistics from Leicester University, UK, and a Ph.D. in Computer Application Technology from Dalian University of Technology. Her research spans metaphor computing, sentiment analysis, neurolinguistics, and AI applications in health and education. A member of the Association for Computational Linguistics and the China Association of Artificial Intelligence, Dr. Zhang is dedicated to advancing AI’s role in understanding human language and improving real-world outcomes in healthcare and education.
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Learn More & ApplyExploring natural language processing techniques to analyze and understand human language.
See DetailsResearching computational methods to detect and interpret metaphors in language.
See DetailsUsing AI to evaluate opinions, emotions, and sentiments in text data.
See DetailsDeveloping AI-based solutions for enhancing educational systems and learning experiences.
See DetailsStudying the relationship between language and the brain using advanced technologies.
See DetailsAwarded the Best Chinese Paper Award at the China Conference on Computational Linguistics for outstanding research and contributions to the field of computational linguistics (2023).
Awarded the Best Paper Award at the 6th Chinese Language Intelligence Conference for outstanding research and contributions to the field of language intelligence (2023).
The Fourth National Conference of Social Media Processing, (2015), Guangzhou. Research on the Construction and Application of Emotional Metaphor Corpus.
For innovative teaching methods integrating AI and linguistics (2022).
Awarded for exceptional contributions to graduate teaching, including the development of innovative course content and mentorship that significantly impacted student learning.