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.

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!

Routledge Encyclopedia of Translation Technology, second edition, provides a state-of-the-art survey of the field of computer-assisted translation. It is the first definitive reference to provide a comprehensive overview of the general, regional, and topical aspects of this increasingly significant area of study. The Encyclopedia is divided into three parts: Part 1 presents general issues in translation technology, such as its history and development, translator training, and various aspects of machine translation, including a valuable case study of its teaching at a major university; Part 2 discusses national and regional developments in translation technology, offering contributions covering the crucial territories of China, Canada, France, Hong Kong, Japan, South Africa, Taiwan, the Netherlands and Belgium, the United Kingdom, and the United States; Part 3 evaluates specific matters in translation technology, with entries focused on subjects such as alignment, concordancing, localization, online translation, and translation memory. The new edition has five additional chapters, with many chapters updated and revised, drawing on the expertise of over 50 contributors from around the world and an international panel of consultant editors to provide a selection of chapters on the most pertinent topics in the discipline. All the chapters are self-contained, extensively cross-referenced, and include useful and up-to-date references and information for further reading. It will be an invaluable reference work for anyone with a professional or academic interest in the subject.

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.

As audiences are provided opportunities to experience the news through new technological advancements in the field, the very nature of journalism and its conventions will likely be challenged. This book offers multiple perspectives on the future of journalism by analyzing trends in technology and demographic shifts in audience composition through the next century. The book draws upon recent research and speculations by top technological firms as well as leading science fiction writers to provide a compelling portrait of how journalism may operate in next 20 to 40 years and beyond. The editors offer a groundbreaking view into the future of news consumption and how it will impact newsgathering and reception across the world. The very nature of journalism will likely be received and interpreted within unique communities through innovative and inclusive ways. This book explores the challenges ahead for journalists and media producers in the near and distant futures. Moreover, as in-world journalists have sought to inform and engage unique communities within the context of their worlds, real and virtual, issues relevant to the mainstream have been played out in virtual culture. This book offers a first glance into a mediated future from a journalistic lens. Redefining Journalism in an Age of Technological Advancements, Changing Demographics, and Social Issues investigates the impact of emerging technologies in journalism and how audiences engage with these technologies and news content in innovative ways. Identity and community are analyzed historically and culturally within the larger body of cultural and media studies. Covering topics such as audience demographics, robotics, and immersive journalism, this book is a dynamic resource for journalists, sociologists, politicians, students and educators of higher education, computer scientists, communications professionals, researchers, and academicians.

According to a 2005 report of the World Health Organization (WHO), an estimated 1.3 billion people worldwide – 16% of the global population – experienced significant disability. This number has only been increasing due to population ageing and an increase in the prevalence of non-communicable diseases. Rehabilitation addresses the impact of a health condition on a person’s everyday life, by optimizing their function and reducing the experience of disability. Rehabilitation ensures people with a health condition can remain as independent as possible and participate in education, work, and meaningful life roles. Global demographic and health trends, such as population ageing, medical staffing shortages, rising prevalence of non-communicable diseases, as well as continued consequences of conflict, injury and developmental conditions are placing increasing demands on the health care systems. The need for quality rehabilitation is rapidly growing, yet in many parts of the world this need is largely unmet.

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.

Technology has revolutionized the field of translation, bringing drastic changes to the way translation is studied and done. To an average user, technology is simply about clicking buttons and storing data. What we need to do is to look beyond a system’s interface to see what is at work and what should be done to make it work more efficiently. This book is both macroscopic and microscopic in approach: macroscopic as it adopts a holistic orientation when outlining the development of translation technology in the last forty years, organizing concepts in a coherent and logical way with a theoretical framework, and predicting what is to come in the years ahead; microscopic as it examines in detail the five stages of technology-oriented translation procedure and the strengths and weaknesses of the free and paid systems available to users. The Future of Translation Technology studies, among other issues: The Development of Translation Technology Major Concepts in Computer-aided Translation Functions in Computer-aided Translation Systems A Theoretical Framework for Computer-Aided Translation Studies The Future of Translation Technology This book is an essential read for scholars and researchers of translational studies and computational linguistics, and a guide to system users and professionals.

This book explores the impact of applying computer-assisted (CAT) tools in freelance translation toward better understanding translators’ strategies, preferences, and challenges in using new technologies and identifying areas of enhancement in translator training. The volume offers a brief overview of the latest developments in technology in translation, examining such issues as the effect on the translation process and the dynamics of the translator-technology interaction. Drawing on data from a study with active translators in Poland, Pietrzak and Kornacki examine the underlying factors underpinning translators’ lack of engagement with these tools, including such issues as prevailing pre-conceptions around technology and limited knowledge hindering the most efficacious use of these resources and the subsequent impact on translator identity. Taken together, the book brings together these insights to help pinpoint freelance translators’ needs more effectively and adapt training programmes accordingly. The volume will be of interest to scholars in translation studies with an interest in process and technology as well as active translators.

In this landmark project, Professor Zhang and Professor Moratto piece together the history of how conference interpreting developed as a profession in China after the reform and opening up of the late 1970s. Based on interviews with the alumni of the early efforts to develop conference interpreting capabilities between Chinese and English (and French), the authors illuminate the international programs and relationships which were instrumental in bringing this about. While paying tribute to the earliest interpreters who interpreted for the first-generation CPC leaders including Mao Zedong, Zhou Enlai, and Deng Xiaoping, they track key cooperative projects between Chinese ministries and both the United Nations and European Union, as well as China’s domestic efforts, which developed into today’s formal programs at major universities. An essential resource for scholars and students of conference interpreting in China, alongside its sister volume Conference Interpreting in China: Practice, Training and Research.