Track 2: Language and Technology: Paving the Way for New Linguistic Paradigms

Track Introduction

This track aims to bring together linguists, computational scientists, and educators to discuss cutting-edge advances in NLP, AI translation, speech recognition, adaptive learning, and digital language preservation. The focus will be on how technology reshapes linguistic theory, from syntax and semantics to language evolution and prosody, as well as on practical tools for revitalising endangered languages. The goal is to foster theoretical innovation and real-world applications that challenge traditional models and open new research directions. Through interdisciplinary dialogue, this track seeks to deepen the synergy between computational methods and language science, contributing fresh paradigms for the digital age.

The Topics Included but Not Limited To the Following

• Natural Language Processing and Its Impact on Linguistic Theory
• The Role of AI in Language Translation and Interpretation
• Speech Recognition and Computational Linguistics
• Language Learning and Technology: Adaptive Systems and Apps
• The Impact of Technology on Language Evolution
• Language Preservation Through Digital Tools and Resources

Track Chair

Assoc. Prof. Long Yang

Northwestern Polytechnical University, China

 

Bio

Long Yang is Associate Professor at School of Foreign Studies, Northwestern Polytechnical University, China. He holds a PhD from University of Leeds. His research interest lies in translation and intercultural communication studies. He has published works in important Chinese and international journals such as Chinese Translators Journal, Comparative Literature in China and Meta, etc. He also supervises postgraduates in this field.