This collection of scholarly articles asks the question How useful is translation technology? Pointing to the need for a widely used and reliable way to test the efficiency of language translation programs, the presenters show that commercial tools such as translation memories and translation workbenches are popular, and their developers find them useful in terms of productivity, consistency, or quality. However, these claims are rarely proven using objective comparative studies, and this group describes several new statistical approaches to more rigorous evaluation methods. -- Product Description.

The Routledge Handbook of Translation and Technology provides a comprehensive and accessible overview of the dynamically evolving relationship between translation and technology. Divided into five parts, with an editor's introduction, this volume presents the perspectives of users of translation technologies, and of researchers concerned with issues arising from the increasing interdependency between translation and technology. The chapters in this Handbook tackle the advent of technologization at both a technical and a philosophical level, based on industry practice and academic research. Containing over 30 authoritative, cutting-edge chapters, this is an essential reference and resource for those studying and researching translation and technology. The volume will also be valuable for translators, computational linguists and developers of translation tools.

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.

Machine Translation (MT) has become widely used throughout the world as a medium of communication between those who live in different countries and speak different languages. However, translation between distant languages constitutes a challenge for machines. Therefore, translation evaluation is poised to play a significant role in the process of designing and developing effective MT systems. This book evaluates three prominent MT systems, including Google Translate, Microsoft Translator, and Sakhr, each of which provides translation between English and Arabic. In the book Almahasees scrutinizes the capacity of the three systems in dealing with translation between English and Arabic in a large corpus taken from various domains, including the United Nation (UN), the World Health Organization (WHO), the Arab League, Petra News Agency reports, and two literary texts: The Old Man and the Sea and The Prophet. The evaluation covers holistic analysis to assess the output of the three systems in terms of Translation Automation User Society (TAUS) adequacy and fluency scales. The text also looks at error analysis to evaluate the systems’ output in terms of orthography, lexis, grammar, and semantics at the entire-text level and in terms of lexis, grammar, and semantics at the collocation level. The research findings contained within this volume provide important feedback about the capabilities of the three MT systems with respect to EnglishArabic translation and paves the way for further research on such an important topic. This book will be of interest to scholars and students of translation studies and translation technology.

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.

The development of translation memories and machine translation have led to new quality assurance practices where translators have found themselves checking not only human translation but also machine translation outputs. As a result, the notions of revision and interpersonal competences have gained great importance with international projects recognizing them as high priorities. Quality Assurance and Assessment Practices in Translation and Interpreting is a critical scholarly resource that serves as a guide to overcoming the challenge of how translation and interpreting results should be observed, given feedback, and assessed. It also informs the design of new ways of evaluating students as well as suggesting criteria for professional quality control. Featuring coverage on a broad range of topics such as quality management, translation tests, and competency-based assessments, this book is geared towards translators, interpreters, linguists, academicians, translation and interpreting researchers, and students seeking current research on the new ways of evaluating students as well as suggesting criteria for professional quality control in translation.

The papers in this volume tell the story of a profession that is responding in a number of different ways to the advances in computer technology – of professionals who are streamlining their work, reducing repetitive tasks, eliminating manual operations, and in general increasing their productivity while at the same time achieving a more interesting and relaxed environment.

Designed for translators and other professional linguists, this work attempts to clarify, explain and exemplify the impact that computers have had and are having on their profession. The book concerns machine translation, computer-aided translation and the future of translation and the computer.

The use of the computer in translating natural languages ranges from that of a translator's aid for word processing and dictionary lookup to that of a full-fledged translator on its own. However the obstacles to translating by means of the computer are primarily linguistic. To overcome them it is necessary to resolve the ambiguities that pervade a natural language when words and sentences are viewed in isolation. The problem then is to formalize, in the computer, these aspects of natural language understanding. The authors show how, from a linguistic point of view, one may form some idea of what goes on inside a system's black box, given only the input (original text) and the raw output (translated text before post-editing). Many examples of English/French translation are used to illustrate the principles involved.

The definition of value or quality with respect to work in translation has historically been a particularly vexed issue. Today, however, the growing demand for translations in such fields as technology and business and the increased scrutiny of translators' work by scholars in many disciplines is giving rise to a need for more nuanced, more specialized, and more explicit methods of determining value. Some refer to this determination as evaluation, others use the term assessment. Either way, the question is one of measurement and judgement, which are always unavoidably subjective and frequently rest on criteria that are not overtly expressed. This means that devising more complex evaluative practices involves not only quantitative techniques but also an exploration of the attitudes, preferences, or individual values on which criteria are established. Intended as an interrogation and a critique that can serve to prompt a more thorough and open consideration of evaluative criteria, this special issue of The Translator offers examinations of diverse evaluative practices and contains both empirical and hermeneutic work. Topics addressed include the evaluation of student translations using more up-to-date and positive methods such as those employed in corpus studies; the translation of non?standard language; translation into the second language; terminology; the application of theoretical criteria to practice; a social?textual perspective; and the reviewing of literary translations in the press. In addition, reviews by a number of literary translators discuss specific translations both into and out of English.