Translation technology is essential for translation students, practising translators, and those working as part of the language services industry, but looming above others are the tools for automating translation: machine translation and, more recently, generative AI based on large language models (LLMs).This book, authored by leading experts, demystifies machine translation, explaining its origins, its training data, how neural machine translation and LLMs work, how to measure the...

Leadership Best Seller with #1 for Business Coaching and Team Skills on AmazonLEAD is here to help you lead yourself – and others - through life’s unpredictable challenges towards your aspirations.If you are looking for fresh insights, tools and inspiration you won’t be disappointed.LEAD focuses on the top 3 priorities of a leader. To Map. To Navigate. To Grow. It enables you to:● MAP the journeys that you w...

This book is a pioneering exploration of the state-of-the-art techniques that drive large language models (LLMs) toward greater efficiency and scalability. Edited by three distinguished experts—Peyman Passban, Mehdi Rezagholizadeh, and Andy Way—this book presents practical solutions to the growing challenges of training and deploying these massive models. With their combined experience across academia, research, and industry, the authors provide insights into the tools and strategies requi...

This collection surveys the state of the art of computer-assisted literary translation (CALT), making the case for its potential to enhance literary translation research and practice.The volume brings together early career and established scholars from around the world in countering prevailing notions around the challenges of effectively implementing contemporary CALT applications in literary translation practice which has traditionally followed the model of a single translator foc...

This book, for the first time, collects important current topics in the area of sign language translation in a single volume. The topic is introduced more generally to benefit newcomers to the field before diving into the current state-of-the-art methods of Sign Language Machine Translation (SLMT), together with an in-depth description of issues specific to this topic, including: an introduction to and historical overview of SLMT; ethical issues related to the engagement of and with deaf u...

This book constitutes the refereed proceedings of the 16th China Conference on Machine Translation, CCMT 2020, held in Hohhot, China, in October 2020.The 13 papers presented in this volume were carefully reviewed and selected from 78 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.

Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals.Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle ...

The use of language corpora as a resource in linguistics and language-related disciplines is now well-established. One of the many fields where the impact of corpora has been growing in recent years is translation, both at a descriptive and a practical level. The papers in this volume, which grew out of presentations at the conference Cult2k (Bertinoro, Italy, 2000), the second in the series Corpus Use and Learning to Translate, are principally concerned with the use of corpora as resource...

The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as p...

The book provides an overview of more than a decade of joint R&D efforts in the Low Countries on HLT for Dutch. It not only presents the state of the art of HLT for Dutch in the areas covered, but, even more importantly, a description of the resources (data and tools) for Dutch that have been created are now available for both academia and industry worldwide.The contributions cover many areas of human language technology (for Dutch): corpus collection (including IPR issues) and bui...

Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle challenging transportation problems. This textbookis designed for college or graduate-level students in transportation or closely related fields to study and understand fundamentals in machine learning. Readers will learn how to develop a...

Web localization is a cognitive, textual, communicative and technological process by which interactive web texts are modified to be used by audiences in different sociolinguistic contexts.Translation and Web Localization provides an in-depth and comprehensive overview into this emerging field of study. The book covers the key areas and main theoretical and practical approaches of the subject, rather than a step by step practical guide. Topics covered include the often controversial...