Joss Moorkens – författare

To trainee translators and established professionals alike, the range of tools and technologies now available, and the speed with which they change, can seem bewildering. This state-of-the-art, copiously illustrated textbook offers a straightforward and practical guide to translation tools and technologies.

Demystifying the workings of computer-assisted translation (CAT) and machine translation (MT) technologies, Translation Tools and Technologies offers clear step-by-step guidance on how to choose suitable tools (free or commercial) for the task in hand and quickly get up to speed with them, using examples from a wide range of languages. Translator trainers will also find it invaluable when constructing or updating their courses. This unique book covers many topics in addition to text translation. These include the history of the technologies, project management, terminology research and corpora, audiovisual translation, website, software and games localisation, and quality assurance. Professional workflows are at the heart of the narrative, and due consideration is also given to the legal and ethical questions arising from the reuse of translation data.

With targeted suggestions for further reading at the end of each chapter to guide users in deepening their knowledge, this is the essential textbook for all courses in translation and technology within translation studies and translator training.

Additional resources are available on the Routledge Translation Studies Portal.

To trainee translators and established professionals alike, the range of tools and technologies now available, and the speed with which they change, can seem bewildering. This state-of-the-art, copiously illustrated textbook offers a straightforward and practical guide to translation tools and technologies.

Demystifying the workings of computer-assisted translation (CAT) and machine translation (MT) technologies, Translation Tools and Technologies offers clear step-by-step guidance on how to choose suitable tools (free or commercial) for the task in hand and quickly get up to speed with them, using examples from a wide range of languages. Translator trainers will also find it invaluable when constructing or updating their courses. This unique book covers many topics in addition to text translation. These include the history of the technologies, project management, terminology research and corpora, audiovisual translation, website, software and games localisation, and quality assurance. Professional workflows are at the heart of the narrative, and due consideration is also given to the legal and ethical questions arising from the reuse of translation data.

With targeted suggestions for further reading at the end of each chapter to guide users in deepening their knowledge, this is the essential textbook for all courses in translation and technology within translation studies and translator training.

Additional resources are available on the Routledge Translation Studies Portal.

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 their quality, how translators interact with contemporary systems for automating translation, and how readers can build their own machine translation or LLM. In later chapters, the scope of the book expands to look more broadly at translation automation in audiovisual translation and localisation. Importantly, the book also examines the sociotechnical context, focusing on ethics and sustainability. Enhanced with activities, further reading and resource links, including online support material on the Routledge Translation studies portal, this is an essential textbook for students of translation studies, trainee and practising translators, and users of MT and multilingual LLMs.

Additional resources are available on the Routledge Translation Studies Portal.

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 their quality, how translators interact with contemporary systems for automating translation, and how readers can build their own machine translation or LLM. In later chapters, the scope of the book expands to look more broadly at translation automation in audiovisual translation and localisation. Importantly, the book also examines the sociotechnical context, focusing on ethics and sustainability. Enhanced with activities, further reading and resource links, including online support material on the Routledge Translation studies portal, this is an essential textbook for students of translation studies, trainee and practising translators, and users of MT and multilingual LLMs.

Additional resources are available on the Routledge Translation Studies Portal.

This is the first volume that brings together research and practice from academic and industry settings and a combination of human and machine translation evaluation. Its comprehensive collection of papers by leading experts in human and machine translation quality and evaluation who situate current developments and chart future trends fills a clear gap in the literature. This is critical to the successful integration of translation technologies in the industry today, where the lines between human and machine are becoming increasingly blurred by technology: this affects the whole translation landscape, from students and trainers to project managers and professionals, including in-house and freelance translators, as well as, of course, translation scholars and researchers.

 The editors have broad experience in translation quality evaluation research, including investigations into professional practice with qualitative and quantitative studies, and the contributors are leading experts in their respective fields, providing a unique set of complementary perspectives on human and machine translation quality and evaluation, combining theoretical and applied approaches.