This book explores the latest research trends in applying quantitative methods to translation and interpreting, offering insights into key topics, innovative methodologies, and practical applications. Quantitative approaches play a critical role in addressing complex challenges in the field, enabling researchers to uncover patterns, validate theories, measure phenomena with precision, and provide empirical evidence to inform decision-making in real-world scenarios. By presenting studies that enhance analytical rigor, replicability, and generalizability, this book highlights the transformative potential of data-driven research, including most recent research on AI-assisted translation workflows. The findings not only deepen our understanding of translation and interpreting as unique language activities but also generate useful knowledge to inform training and practice, especially in an era where AI and digital technology is rapidly shaping the field. This work advances translation and interpreting studies within the broader context of digital humanities and language studies. The book is aimed at researchers interested in translation and interpreting studies or those who seek to use quantitative methods to examine language phenomena. It is also a valuable resource for trainers, students, and practitioners seeking to apply evidence-based insights to their work. 

Han Xu is Assistant Professor in the Department of Language Science and Technology at The Hong Kong Polytechnic University. She specializes in empirical approaches to translation and interpreting studies. Her research works are published in scholarly journals in the fields, such as Applied Linguistics, Across Languages and Cultures, Lingua, Meta, Multilingua, Perspectives, System, and Translation and Interpreting Studies.

Kanglong Liu is Associate Professor in the Department of Language Science and Technology at The Hong Kong Polytechnic University. His research focuses on corpus-based translation studies, AI and translation, quantitative linguistics, translation pedagogy, and empirical approaches to translation and interpreting studies. He is currently Associate Editor of Translation Quarterly, the official publication of the Hong Kong Translation Society, and is the author of the monograph Corpus-Assisted Translation Teaching: Issues and Challenges (Springer, 2020).

Andrew K. F. Cheung is Associate Professor in the Department of Language Science and Technology at The Hong Kong Polytechnic University. He holds a PhD from the University of East Anglia. He is a member of the editorial boards of Babel and the Translation Quarterly. He is a member of the Association Internationale des Interprètes de Conférence (AIIC). His research interests include quality perception of interpreting and corpus-based interpreting studies.