Prof. Andy Way (ADAPT DCU and co-founder of the ADAPT Research Ireland Centre) has recently completed the six-book series he agreed in 2017 to edit for Springer Nature on Machine Translation: Technologies & Applications (https://link.springer.com/series/15798). The series is completed by the publication of Enhancing LLM Performance: Efficacy, Fine-Tuning, and Inference Techniques, co-edited by Andy and his old ADAPT PhD student Peyman Passban, together with Mehdi Rezagholizadeh of Huawei Noah’s Ark Labs.
Across the six volumes, the collection explores the forefront of human and machine translation, from the first book-length discussion of translation quality assessment to practical solutions to the growing challenges of training and deploying large language models. Other volumes tackle ethical and legal considerations in machine translation, psychological models of language processing, pioneering studies in sign language machine translation, and explorations on qualitative and quantitative methods to assess translation behaviour and quality. The series is an excellent resource for researchers, developers, and industry professionals aiming to navigate and shape the evolving landscape of translation technologies.
The full set of books on the Springer website is the following:
These are edited by Andy, Joss Moorkens, Sheila Castilho, Federico Gaspari (all ADAPT, DCU), Stephen Doherty, Bud Scott, Michael Carl, Helena Moniz, Carla Parra Escartín (ex-ADAPT, DCU), Lorraine Leeson (ADAPT, TCD), Dimitar Shterionov, Peyman Passban (both (ex-)ADAPT, DCU), and Mehdi Rezagholizadeh. As a demonstration of their utility and influence in the field of translation, to date these books have been accessed over 115,000 times on Springer’s site, with more sure to come!
