Andy Way – författare

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 focused on a single work. The book begins by addressing key questions on the definition of literary translation, examining its sociological dimensions and individual translator perspective. Chapters explore the affordances of technological advancements and availability of new tools in such areas as post-edited machine translation (PEMT) in expanding the boundaries of what we think of when we think of literary translation, looking to examples from developments in co-translation, collaborative translation, crowd-sourced translation and fan translation.

As the first book of its kind dedicated to the contribution CALT in its various forms can add to existing and future scholarship, this volume will be of interest to students and scholars in Translation Studies, especially those working in literary translation, machine translation and translation technologies.

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 focused on a single work. The book begins by addressing key questions on the definition of literary translation, examining its sociological dimensions and individual translator perspective. Chapters explore the affordances of technological advancements and availability of new tools in such areas as post-edited machine translation (PEMT) in expanding the boundaries of what we think of when we think of literary translation, looking to examples from developments in co-translation, collaborative translation, crowd-sourced translation and fan translation.

As the first book of its kind dedicated to the contribution CALT in its various forms can add to existing and future scholarship, this volume will be of interest to students and scholars in Translation Studies, especially those working in literary translation, machine translation and translation technologies.

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 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 users; the importance of data; the sign languages of Europe; sign language recognition and synthesis, including via avatars; data-driven and linguistically-informed models of SLMT; gloss translation; fingerspelling; SLMT communication; and SLMT in practice.

Of interest to MT developers and users as well as people working in deaf studies, this volume presents cutting-edge research on machine translation in the field of deaf studies.

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 issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP.