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Author:   Leung Sze Ming (Caritas Institute of Higher Education, Hong Kong) ,  Chan Sin-wai (Caritas Institute of Higher Education, Hong Kong)
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
ISBN:  

9781032506111

ISBN 10:   1032506113
Pages:   178
Publication Date:   21 May 2026
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

Introduction 1. Time allocation matters in the football commentary: A Hong Kong case 2. “In my later phase I gradually get more precise with poetry’s rules?”: Du Fu’s recent style prosody revisited 3. Identity construction of Hong Kong’s Chief Executive in blogs: A corpus-informed study 4. Exploring a model for ensuring language learner autonomy via technological buttressing 5. Improving Cantonese speech-to-text (STT) recognition by using a pronunciation model 6. Where neural machine translation and translation memories meet: Domain adaptation for the translation of HKSAR Government press releases 7. Computer-aided annotation of lexical cohesive devices in parallel texts for translator and interpreter training 8. Exploring creativity in ChatGPT and human translated literature: A case study of The Old Man and the Sea in Chinese 9. Making sense of how machines should show human-like emotions 10. Explainability of machine translation models: A survey

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Author Information

Leung Sze Ming is Vice-President (Administration) at the Saint Francis University in Hong Kong. She earned her PhD in Education at The Chinese University of Hong Kong. Her research interests include teacher feedback, writing instruction, and the use of ICT in language teaching and learning. Chan Sin-wai holds a PhD from London University, UK. He is Professor-cum-Dean of the Ip Ying To Lee Yu Yee School of Humanities and Languages, Saint Francis University, Hong Kong. His research interests are translation technology and bilingual lexicography. He has published 95 academic books in 116 volumes to date.

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