This book assembles fifteen original, interdisciplinary research chapters that explore methodological and conceptual considerations as well as user and usage studies to elucidate the relation between the translation product and translation/post-editing processes. It introduces numerous innovative empirical/data-driven measures as well as novel classification schemes and taxonomies to investigate and quantify the relation between translation quality and translation effort in from-scratch translation, machine translation post-editing and computer-assisted audiovisual translation. The volume addresses questions in the translation of cognates, neologisms, metaphors, and idioms, as well as figurative and cultural specific expressions. It re-assesses the notion of translation universals and translation literality, elaborates on the definition of translation units and syntactic equivalence, and investigates the impact of translation ambiguity and translation entropy. The results and findings are interpreted in the context of psycho-linguistic models of bilingualism and re-frame empirical translation process research within the context of modern dynamic cognitive theories of the mind. The volume bridges the gap between translation process research and machine translation research. It appeals to students and researchers in the fields.

This book assembles fifteen original, interdisciplinary research chapters that explore methodological and conceptual considerations as well as user and usage studies to elucidate the relation between the translation product and translation/post-editing processes. It introduces numerous innovative empirical/data-driven measures as well as novel classification schemes and taxonomies to investigate and quantify the relation between translation quality and translation effort in from-scratch translation, machine translation post-editing and computer-assisted audiovisual translation. The volume addresses questions in the translation of cognates, neologisms, metaphors, and idioms, as well as figurative and cultural specific expressions. It re-assesses the notion of translation universals and translation literality, elaborates on the definition of translation units and syntactic equivalence, and investigates the impact of translation ambiguity and translation entropy. The results and findings are interpreted in the context of psycho-linguistic models of bilingualism and re-frame empirical translation process research within the context of modern dynamic cognitive theories of the mind. The volume bridges the gap between translation process research and machine translation research. It appeals to students and researchers in the fields.

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Translation as a Cognitive Activity provides an overarching account of translation as a cognitive activity, from the pioneering use of think-aloud protocols as a sole technique used to investigate the translation process in the mid-1980s to the latest developments in the field. This book focuses on the main aspects of translation as a cognitive activity, including detailed descriptions of translation process research as well as research on translation competence and its acquisition. Providing thorough information into ways of studying translation as a cognitive activity by means of systematic references to empirical-experimental investigations, this innovative textbook promotes knowledge about the cognitive study of translation to related fields. With detailed explanations about models related to the functioning of the translation process and translation competence as well as an updated account of methods and instruments used in empirical-experimental research in translation, this is the ideal resource for students and translator trainers as well as novice and experienced translators.

Extraordinary advances in machine translation over the last three quarters of a century have profoundly affected many aspects of the translation profession. The widespread integration of adaptive “artificially intelligent” technologies has radically changed the way many translators think and work. In turn, groundbreaking empirical research has yielded new perspectives on the cognitive basis of the human translation process. Translation is in the throes of radical transition on both professional and academic levels. The game-changing introduction of neural machine translation engines almost a decade ago accelerated these transitions. This volume takes stock of the depth and breadth of resulting developments, highlighting the emerging rivalry of human and machine intelligence. The gathering and analysis of big data is a common thread that has given access to new insights in widely divergent areas, from literary translation to movie subtitling to consecutive interpreting to development of flexible and powerful new cognitive models of translation.

Exploring the Implications of Complexity Thinking for Translation Studies considers the new link between translation studies and complexity thinking. Edited by leading scholars in this emerging field, the collection builds on and expands work done in complexity thinking in translation studies over the past decade. In this volume, the contributors address a variety of implications that this new approach holds for key concepts in Translation Studies such as source vs. target texts, translational units, authorship, translatorship, for research topics including translation data, machine translation, communities of practice, and for research methods such as constraints and the emergence of trajectories. The various chapters provide valuable information as to how research methods informed by complexity thinking can be applied in translation studies. Presenting theoretical and methodological contributions as well as case studies, this volume is of interest to advanced students, academics, and researchers in translation and interpreting studies, literary studies, and related areas.

Translation and interpreting can be seen as two special sub-types of bilingual communication. The field of bilingualism—from developmental, cognitive, and neuroscientific perspectives—is highly relevant to Translation and Interpreting Studies. The Routledge Handbook of Translation, Interpreting and Bilingualism is the first handbook to bring together the related, yet disconnected, fields of bilingualism and translation and interpreting studies. Edited by leading scholars and authored by a wide range of established authorities from around the world, the Handbook is divided into six parts and encompasses theories and method, the development of translator and interpreter competence and cognitive, neuroscientific and social aspects. This is the essential guide to bilingualism for advanced students and researchers of Translation and Interpreting studies and key reading on translation and interpreting for those studying and researching bilingualism.

Has the language industry of the 21st century been racing ahead of the translation profession and leaving translators behind? Or are translators adapting to new sociotechnical realities and societal demands, and if so, how? The chapters in this volume seek to shed light on the profiles and position of human translators in the current decade. This collection draws together the work of leading authors to reflect on the constantly evolving language industry. The eight chapters present new perspectives on, and concepts of, translation in a digital world. They highlight the shifts taking place in the sociotechnical environment of translation and the need to address changing buyer needs and market demands with new services, profiles and training. In doing so, they share a common focus on the added value that human translators can and do bring to bear as adaptive, creative, digitally literate experts. Addressing an international readership, this volume is of interest to advanced students and researchers in translation and interpreting studies, and professionals in the global language industry.

The present work explores computer-assisted simultaneous interpreting (CASI) from a primarily cognitive perspective. Despite concerns over the potentially negative impact of computer-assisted interpreting (CAI) tools on interpreters’ cognitive load (CL), this hypothesis remains untested. Previous research is restricted to the evaluation of the CASI product and a methodology for the process-oriented evaluation of CASI and the empirical evidence for its cognitive modelling are missing. Overcoming these limitations appears essential to advance CAI research, particularly to foster a deeper understanding of the cognitive aspects of CAI through a validated research methodology and to determine the feasibility of the integration of CAI tools into the interpreting process. This book tests and validates a methodology for the combined exploration of the product and process of CASI. Quantitative and qualitative data were collected during an eyetracking experiment at the Translation & Cognition Centre of the University of Mainz. The study followed a convergent mixed-method and multi-method approach and involved nine interpreting students. Prior to the experimental task, the informants were trained in the use of three terminology support tools: a digital glossary in PDF format, a CAI tool with manual look-up, and a mock-up CAI tool with integrated automatic speech recognition (ASR) for terminology. After several pre-tests, the participants interpreted three speeches from English into their native German using a different tool each time. To increase comparability between the three conditions and control for potentially confounding variables, the speeches were validated during a pilot study. The students’ gaze data and deliveries were recorded and analysed. Qualitative data on the informants’ perception of the tools were collected post-hoc. In the study, several performance, behavioural, and subjective measures were analysed: terminological accuracy and errors and omissions; glossary queries, ear-voice span, inter-cluster pause duration, time to first fixation, average fixation duration, and fixation time; qualitative questionnaire responses. The findings provide insights into the effects of CAI tools on CL and attention allocation in interpreter-CAI tool interaction during simultaneous interpreting. As this is the first study on in-process CAI tool use with a markedly cognitive orientation, it entails significant implications for the methodological development of CAI research and the design of future studies on cognitive aspects of CASI, while raising additional questions in need of further investigation.

From using machine learning to shave seconds off translations, to using natural language processing for accurate real-time translation services, this book covers all the aspects. The world of translation technology is ever-evolving, making the task of staying up to date with the most advanced methods a daunting yet rewarding undertaking. That is why we have edited this bookto provide readers with an up-to-date guide to the new advances in translation technology. In this book, readers can expect to find a comprehensive overview of all the latest developments in the field of translation technology. Not only that, the authors dive into the exciting possibilities of artificial intelligence in translation, exploring its potential to revolutionize the way languages are translated and understood. The authors also explore aspects of the teaching of translation technology. Teaching translation technology to students is essential in ensuring the future of this field. With advances in technology such as machine learning, natural language processing, and artificial intelligence, it is important to equip students with the skills to keep up with the latest developments in the field. This book is the definitive guide to translation technology and all of its associated potential. With chapters written by leading translation technology experts and thought leaders, this book is an essential point of reference for anyone looking to understand the breathtaking potential of translation technology.