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Status of Machine Translation (MT) Technology by United States. Congress. House. Committee on Science, Space, and Technology. Subcommittee on Science, Research, and Technology Pdf
Multiword Units in Machine Translation and Translation Technology by Ruslan Mitkov,Johanna Monti,Gloria Corpas Pastor,Violeta Seretan Pdf
The correct interpretation of Multiword Units (MWUs) is crucial to many applications in Natural Language Processing but is a challenging and complex task. In recent years, the computational treatment of MWUs has received considerable attention but there is much more to be done before we can claim that NLP and Machine Translation (MT) systems process MWUs successfully. This volume provides a general overview of the field with particular reference to Machine Translation and Translation Technology and focuses on languages such as English, Basque, French, Romanian, German, Dutch and Croatian, among others. The chapters of the volume illustrate a variety of topics that address this challenge, such as the use of rule-based approaches, compound splitting techniques, MWU identification methodologies in multilingual applications, and MWU alignment issues.
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.
Technology as Translation Strategy by Muriel Vasconcellos,Vasconcellos Muriel Pdf
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.
Federal Coordinating Council for Science, Engineering, and Technology. Committee on Industry and Technology
Author : Federal Coordinating Council for Science, Engineering, and Technology. Committee on Industry and Technology Publisher : Unknown Page : 64 pages File Size : 45,6 Mb Release : 1993 Category : Machine translating ISBN : UCSD:31822021358031
Routledge Encyclopedia of Translation Technology by Chan Sin-wai Pdf
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.
Machine translation for everyone: Empowering users in the age of artificial intelligence by Dorothy Kenny Pdf
Language learning and translation have always been complementary pillars of multilingualism in the European Union. Both have been affected by the increasing availability of machine translation (MT): language learners now make use of free online MT to help them both understand and produce texts in a second language, but there are fears that uninformed use of the technology could undermine effective language learning. At the same time, MT is promoted as a technology that will change the face of professional translation, but the technical opacity of contemporary approaches, and the legal and ethical issues they raise, can make the participation of human translators in contemporary MT workflows particularly complicated. Against this background, this book attempts to promote teaching and learning about MT among a broad range of readers, including language learners, language teachers, trainee translators, translation teachers, and professional translators. It presents a rationale for learning about MT, and provides both a basic introduction to contemporary machine-learning based MT, and a more advanced discussion of neural MT. It explores the ethical issues that increased use of MT raises, and provides advice on its application in language learning. It also shows how users can make the most of MT through pre-editing, post-editing and customization of the technology.
Machine translation for everyone by Dorothy Kenny Pdf
Language learning and translation have always been complementary pillars of multilingualism in the European Union. Both have been affected by the increasing availability of machine translation (MT): language learners now make use of free online MT to help them both understand and produce texts in a second language, but there are fears that uninformed use of the technology could undermine effective language learning. At the same time, MT is promoted as a technology that will change the face of professional translation, but the technical opacity of contemporary approaches, and the legal and ethical issues they raise, can make the participation of human translators in contemporary MT workflows particularly complicated. Against this background, this book attempts to promote teaching and learning about MT among a broad range of readers, including language learners, language teachers, trainee translators, translation teachers, and professional translators. It presents a rationale for learning about MT, and provides both a basic introduction to contemporary machine-learning based MT, and a more advanced discussion of neural MT. It explores the ethical issues that increased use of MT raises, and provides advice on its application in language learning. It also shows how users can make the most of MT through pre-editing, post-editing and customization of the technology.
Recent Advances in Example-Based Machine Translation by M. Carl,Andy Way Pdf
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.
Evaluation of Translation Technology by Walter Daelemans,Véronique Hoste Pdf
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.
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.
Machine Learning in Translation by Peng Wang,David B. Sawyer Pdf
Machine Learning in Translation introduces machine learning (ML) theories and technologies that are most relevant to translation processes, approaching the topic from a human perspective and emphasizing that ML and ML-driven technologies are tools for humans. Providing an exploration of the common ground between human and machine learning and of the nature of translation that leverages this new dimension, this book helps linguists, translators, and localizers better find their added value in a ML-driven translation environment. Part One explores how humans and machines approach the problem of translation in their own particular ways, in terms of word embeddings, chunking of larger meaning units, and prediction in translation based upon the broader context. Part Two introduces key tasks, including machine translation, translation quality assessment and quality estimation, and other Natural Language Processing (NLP) tasks in translation. Part Three focuses on the role of data in both human and machine learning processes. It proposes that a translator’s unique value lies in the capability to create, manage, and leverage language data in different ML tasks in the translation process. It outlines new knowledge and skills that need to be incorporated into traditional translation education in the machine learning era. The book concludes with a discussion of human-centered machine learning in translation, stressing the need to empower translators with ML knowledge, through communication with ML users, developers, and programmers, and with opportunities for continuous learning. This accessible guide is designed for current and future users of ML technologies in localization workflows, including students on courses in translation and localization, language technology, and related areas. It supports the professional development of translation practitioners, so that they can fully utilize ML technologies and design their own human-centered ML-driven translation workflows and NLP tasks.
