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1,164 result(s) for "Machine translating."
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Corpora in translation and contrastive research in the digital age : recent advances and explorations
Corpus-based contrastive and translation research are areas that keep evolving in the digital age, as the range of new corpus resources and tools expands, opening up to different approaches and application contexts. The current book contains a selection of papers which focus on corpora and translation research in the digital age, outlining some recent advances and explorations. After an introductory chapter which outlines language technologies applied to translation and interpreting with a view to identifying challenges and research opportunities, the first part of the book is devoted to current advances in the creation of new parallel corpora for under-researched areas, the development of tools to manage parallel corpora or as an alternative to parallel corpora, and new methodologies to improve existing translation memory systems.The contributions in the second part of the book address a number of cutting-edge linguistic issues in the area of contrastive discourse studies and translation analysis on the basis of comparable and parallel corpora in several languages such as English, German, Swedish, French, Italian, Spanish, Portuguese and Turkish, thus showcasing the richness of the linguistic diversity carried out in these recent investigations. Given the multiplicity of topics, methodologies and languages studied in the different chapters, the book will be of interest to a wide audience working in the fields of translation studies, contrastive linguistics and the automatic processing of language.
Interpreters vs machines : can interpreters survive in an AI-dominated world?
\"From tech giants to plucky startups, the world is full of companies boasting that they are on their way to replacing human interpreters, but are they right? Interpreters vs Machines offers a solid introduction to recent theory and research on human and machine interpreting, and then invites the reader to explore the future of interpreting. With a Foreword by Dr Henry Liu, the 13th FIT President and written by consultant interpreter and researcher Jonathan Downie, this book offers a unique combination of research and practical insight into the field of interpreting. Written in an innovative, accessible style with humorous touches and real-life case studies, this book is structured around the metaphor of playing and winning a computer game. It takes interpreters of all experience levels on a journey to better understand their own work, learn how computers attempt to interpret and explore possible futures for human interpreters. With five levels, split into fourteen chapters, Interpreters vs Machines is key reading for all professional interpreters, as well as students and researchers of Interpreting and Translation Studies, and those with an interest in machine interpreting\"-- Provided by publisher.
Interdisciplinarity in Translation and Interpreting Process Research
On the basis of a pilot study using speech recognition (SR) software, this chapter attempts to illustrate the benefits of adopting an interdisciplinary approach in translator training. It shows how the collaboration between phoneticians, translators and interpreters can (1) advance research, (2) have implications for the curriculum, (3) be pedagogically motivating, and (4) prepare students for employing translation technology in their future practice as translators. In a two-phase study in which 14 MA students translated texts in three modalities (sight, written, and oral translation using an SR program), Translog was employed to measure task times. The quality of the products was assessed by three experienced translators, and the number and types of misrecognitions were identified by a phonetician. Results indicate that SR translation provides a potentially useful supplement to written translation, or indeed an alternative to it.
Translation in transition : human and machine intelligence
The game-changing introduction of neural machine translation engines almost a decade ago accelerated these transitions. This volume takes stock of the depth and breadth of resulting developments, highlighting the emerging rivalry of human and machine intelligence.
Introducing corpus-based translation studies
\"The book addresses different areas of corpus-based translation studies, including corpus-based study of translation features, translator's style, norms of translation, translation practice, translator training and interpreting. It begins by tracing the development of corpus-based translation studies and introducing the compilation of different types of corpora for translation research. The use of corpora in different research areas is then discussed in detail, and the implications and limitations of corpus-based translation studies are addressed. Featuring the use of figures, tables, illustrations and case studies, as well as discussion of methodological issues, the book offers a practical guide to corpus-based translation. It will be of interest to postgraduate students and professionals who are interested in translation studies, interpreting studies or computer-aided translation.\" --Page [4] of cover.
HowNet and the computation of meaning
It is widely acknowledged that natural language processing, as an indispensable means for information technology, requires the strong support of world knowledge as well as linguistic knowledge. This book is a theoretical exploration into the extra-linguistic knowledge needed for natural language processing and a panoramic description of HowNet as a case study.