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Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
Researchers have been attempting to develop systems that would emulate the human translation process for some forty years. What is it about human language that makes this such a daunting challenge? While other software packages have achieved rapid and lasting success, machine translation has failed to penetrate the worldwide market to any appreciable extent. Does this merely reflect a reluctance to adopt it, or does it signal a more fundamental and intractable problem? Computers in Translation is a comprehensive guide to the practical issues surrounding machine translation and computer-based translation tools. Translators, system designers, system operators and researchers present the facts about machine translation: its history, its successes, its limitations and its potential. Three chapters deal with actual machine translation applications, discussing installations including the METEO system, used in Canada to translate weather forecasts and weather reports,and the system used in the Foreign Technology Division of the US Air Force.
Post-editing is possibly the oldest form of human-machine cooperation for translation. It has been a common practice for just about as long as operational machine translation systems have existed. Recently, however, there has been a surge of interest in post-editing among the wider user community, partly due to the increasing quality of machine translation output, but also to the availability of free, reliable software for both machine translation and post-editing. As a result, the practices and processes of the translation industry are changing in fundamental ways. This volume is a compilation of work by researchers, developers and practitioners of post-editing, presented at two recent events on post-editing: The first Workshop on Post-editing Technology and Practice, held in conjunction with the 10th Conference of the Association for Machine Translation in the Americas, held in San Diego, in 2012; and the International Workshop on Expertise in Translation and Post-editing Research and Application, held at the Copenhagen Business School, in 2012.
“I don’t translate, I create!” – This is the slogan of a translation agency called “Sternkopf Communications” located in Flöha, Germany. The translators at this translation agency are specialized in the field of marketing and perceive creativeness their daily bread. But what does this actually mean – I don’t translate, I create? Undoubtedly, the translation of a text from one language into another is not an easy and straightforward process. On the contrary, the translator needs to invest much time and one or the other headache before a target text (TT) finally sounds natural, fluent, coherent and logical for the target audience. Different possible translation solutions will have to be considered, language as well as culture-related equivalents often are not easily at hand etc. Would it not be pleasant if machine translation (MT) was there to help with this process? Yet, despite the enormous importance of creativity in translating, computer-aided translation (CAT) tools are being used frequently by professional translators, not to replace but to support the translator in their daily business. CAT tools enable their users to translate in a more consistent way, since they search source texts for words, phrases or sentences that have already been translated before and stored in the TM so that the translator does not need to translate this text unit again ‘from scratch’. Considering that this process brings about what could be called ‘semi-mechanical’ TTs, the use of CAT tools seems to stand in stark contrast to the importance of creativity mentioned above. Thus, the question arises whether CAT tools influence the creative energy of translators and, if this is the case, whether translators regard this influence as rather positive or negative. In this context, it is also important to consider which fields of expertise generally demand a high degree of uniformity/consistency in translations and which subject fields generally allow for a high degree of creative freedom. Accordingly, this paper pursues two related purposes. The first is to compare five CAT tools in their degree of usability. The second purpose is to identify translators’ perspectives on uniformity and creativity in translations with the goal to shedding light on the question whether CAT tools generally tend to positively or negatively influence the translation process on a rather linguistic than technological basis.
This volume is about computers and translation. It is not, however, a Computer Science book, nor does it have much to say about Translation Theory. Rather it is a book for translators and other professional linguists (technical writers, bilingual secretaries, language teachers even), which aims at clarifying, explaining and exemplifying the impact that computers have had and are having on their profession. It is about Machine Translation (MT), but it is also about Computer-Aided (or -Assisted) Translation (CAT), computer-based resources for translators, the past, present and future of translation and the computer. The editor and main contributor, Harold Somers, is Professor of Language Engineering at UMIST (Manchester). With over 25 years’ experience in the field both as a researcher and educator, Somers is editor of one of the field’s premier journals, and has written extensively on the subject, including the field’s most widely quoted textbook on MT, now out of print and somewhat out of date. The current volume aims to provide an accessible yet not overwhelmingly technical book aimed primarily at translators and other users of CAT software.
Translation technologies are moulded by and impact upon humans in all sorts of ways. This state-of-the-art volume looks at translation technologies from the point of view of the human users – as trainee, professional or volunteer translators, or as end users of translations produced by machines. Covering technologies from machine translation to online collaborative platforms, and practices from ‘traditional’ translation to crowdsourced translation and subtitling, this volume takes a critical stance, questioning both utopian and dystopian visions of translation technology. In eight chapters, the authors propose ideas on how technologies can better serve translators and end users of translations. The first four chapters explore how translators – in various contexts and with widely differing profiles – use and feel about translation technologies as they currently stand, while the second four chapters focus on the future: on anticipating needs, identifying emerging possibilities, and defining interventions that can help to shape translation practice and research. Drawing on a range of theories from cognitive to social and psychological, and with empirical evidence of what the technologization of the workplace means to translators, Human Issues in Translation Technology is key reading for all those involved in translation and technology, translation theory and translation research methods.