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.
