Machine Translation for Language Teaching and Learning in the Age of GenAI

This talk explores Machine Translation (MT) in language education within the GenAI era, focusing on the significance of context in translation accuracy. It highlights the challenges of translating terms like “red/紅” across different contexts and delves into lexical and discourse complexities faced by AI translation tools. The presentation assesses how MT may assist language learning and teaching, addressing its current limitations in understanding nuanced language features. It aims to shed light on the evolving role of MT in enhancing language comprehension and instruction, and fostering more effective learning experiences.