While interpreting long remained unaffected by the technological progress that transformed the translation industry, recent years have witnessed a paradigm shift, such that interpreters increasingly interact with technological tools, that the delivery of interpreting services becomes increasingly dependent on technologies, and, finally, that technologies start to emerge that might some day compete with interpreters. This volume brings together a series of contributions on interpreting technologies focusing on each of these aspects. Its goal is to inform and to empower interpreters, as well as to spark new reflections on the future of technology in the interpreting industry. With this volume, we want to encourage interpreters to participate in that reflection and to become partners of technology rather than its victims. The next generation of technologies will need a next generation of interpreters!

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.

Routledge Encyclopedia of Technology and the Humanities is a pioneer attempt to introduce a wide range of disciplines in the emerging field of techno-humanities to the English-reading world. This book covers topics such as archaeology, cultural heritage, design, fashion, linguistics, music, philosophy, and translation. It has 20 chapters, contributed by 26 local and international scholars. Each chapter has its own theme and addresses issues of significant interest in the respective disciplines. References are provided at the end of each chapter for further exploration into the literature of the relevant areas. To facilitate an easy reading of the information presented in this volume, chapters have been arranged according to the alphabetical order of the topics covered. This Encyclopedia will appeal to researchers and professionals in the field of technology and the humanities, and can be used by undergraduate and graduate students studying the humanities.

This collection takes an interdisciplinary approach to the study of gendered technology, an emerging area of inquiry that draws on a range of fields to explore how technology is designed and used in a way that reinforces or challenges gender norms and inequalities. The volume explores different perspectives on the impact of technology on gender relations through specific cases of translation and interpreting technologies. In particular, the book considers the slow response of legal frameworks in dealing with the rise of language-based technologies, especially machine translation and large language models, and their impacts on individual and collective rights. Part I introduces the study of gendered technologies at this intersection of legal and translation and interpreting research, before moving into case studies of specific technologies. The cases explored in Parts II and III discuss the impact of interpreting and translation technologies on language professionals, language communities, and gender inequalities, while stressing the future needs of gendered technology, particularly machine translation. Taken together, the collection demonstrates the value of a cross-disciplinary approach in better understanding how language technologies can be harnessed to address discrimination and contribute to growing discussions on gender equality and social justice at the intersection of technology and translation. This book will be of interest to scholars in translation and interpreting studies, gender studies, language technologies, and language and the law.

Digital transformation and demographic change are profoundly affecting the contexts in which the language industry operates, the resources it deploys and the roles and skillsets of those it employs. Driven by evolving digital resources and socio-ethical demands, the roles and responsibilities deriving from the proliferation of new and emerging profiles in the language industry are transcending the traditional bounds of core activities and competences associated with prototypical concepts of translation and interpreting. This volume focuses on the realities in the language industry from the fresh perspective of current and emerging professional profiles and of the contexts and resources that condition and support them. It traces the industry's evolution, maps its current state and considers key aspects of its workplaces, actors and practices. In an age when artificial intelligence is challenging traditionally held views of human performance, it addresses the issue of where and how human agents add value to the industry's processes and products, with a detailed, research-based consideration of the activities, competences, roles, responsibilities and tools that characterize the language industry of today and the near future.

How to Augment Language Skills outlines ways in which translators and language providers can expand their skillset and how translation technologies can be integrated into language learning and translator training. This book explains the basics of generative AI, machine translation, and translation memory suites, placing them in a historical context and assessing their fundamental impacts on language skills. It covers what to teach in a specific context, how to teach it, how to assess the result, and how to set up lively class discussions on the many problematic aspects. The exploratory empirical approach is designed to reach across several divides: between language education and translation studies, between technology designers and users, between Western and Asian research, and between abstract ideas and hands-on practice. Features include: Fifty-seven technology-related activities for the language and/or translation class. Recent research on the capacities of generative AI. Examples of how to conduct a needs analysis in the Higher Education context. Comparisons of the main teaching methods. Ways to assess the use of technologies. Examples in Chinese, Spanish, Catalan, French, and German. A full glossary explaining the key terms in clear language. Drawing on years of classroom experience, Pym and Hao illustrate how these skills can be taught in a range of classroom and online activities, making this essential reading for teachers and researchers involved in the teaching of languages and the training of translators.

The Routledge Handbook of Interpreting and Cognition provides an overview of the interrelated nature of interpreting and cognition. The Handbook presents in-depth discussions of cognitive aspects of the task of interpreting and how researchers and practitioners alike have applied these findings to the practice of interpreting. With contributions from scholars working within multiple theoretical and methodological paradigms across various disciplines, this Handbook allows readers to engage with current thinking on cognitive processes, behaviors, and activities in a single space. The volume traces the historical progression of cognitive inquiry into interpreting on various topics, highlighting methodological advances and possibilities that can further our understanding of this cross-language activity. With an editor’s introduction and 25 chapters by global authorities, the Handbook offers broad coverage of cognitive aspects of interpreting while identifying new avenues for future research. This is an essential reference for students and researchers of interpreting in translation and interpreting studies as well as those interested in cognitive aspects of interpreting in bilingualism, second-language acquisition, cognitive psychology, and beyond.

Zusammenfassung: This book provides a holistic conceptualization of social sustainability, going beyond the topics of diversity, equity, and inclusion, and showcases how the United Nations' Sustainable Development Goals (SDGs) emphasizing social sustainability can be integrated into business studies' curricula in different parts of the world. A unique collection of literature comprising educational principles, content, activities, and cases will guide educators, managers of business study programs, and higher education leaders in developing engaging, high-impact educational experiences that enable students to solve grand societal challenges and grow as ethical, inclusive leaders. This handbook features a wide-range of tested teaching innovations. These cover education models addressing newest trends, such as utilizing artificial intelligence and blockchain technologies in education about-and-for socially sustainable business or skill development for enabling circular economy and sustainable production and consumption patterns. The classical, impactful yet underutilized in business studies instructional techniques such as storytelling and theatre are also discussed comprehensively. The cross-disciplinary approach of the handbook speaks to scholars aiming to research and implement business education, which connects social, environmental, and economic dimensions in quality education that promotes sustainable development. Aušrinė Šilenskytė is a Program Manager (Bachelor's in International Business) and an Ambassador for Internationalization at the School of Management, University of Vaasa, Finland. Miguel Cordova is Associate Professor and Internationalization Leader for the Management Department and Management School at Pontificia Universidad Católica del Perú (PUCP), Peru. Marina A. Schmitz serves as a researcher and lecturer at the Coca-Cola Chair of Sustainable Development at IEDC-Bled School of Management, Slovenia and as a senior CSR expert at Polymundo AG in Heilbronn, Germany. Soo Min Toh is Professor of Organizational Behavior and Human Resource Management at the University of Toronto Mississauga, Canada and Visiting Fellow at the University of Edinburgh Business School, UK

This concise volume serves as a valuable resource on understanding the integration and impact of generative AI (GenAI) and evolving technologies on translation workflows. As translation technologies continue to evolve rapidly, translation scholars and practicing translators need to address the challenges of how best to factor AI-enhanced tools into their practices and in translator training programs. The book covers a range of AI applications, including AI-powered features within Translation Management Systems, AI-based machine translation, AI-assisted translation, language generation modules and language checking tools. The volume puts the focus on using AI in translation responsibly and effectively, but also on ways to support students and practitioners in their professional development through easing technological anxieties and building digital resilience. This book will be of interest to students, scholars and practitioners in translation and interpreting studies, as well as key stakeholders in the language services industry.

While interpreting long remained unaffected by the technological progress that transformed the translation industry, recent years have witnessed a paradigm shift. This volume aims to inform and to empower interpreters and spark reflections on the future of technology in the interpreting industry.