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Author: M. Carl
Publisher: Springer Science & Business Media
ISBN: 9401001812
Category : Computers
Languages : en
Pages : 524
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Book Description
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.
Author: M. Carl
Publisher: Springer Science & Business Media
ISBN: 9401001812
Category : Computers
Languages : en
Pages : 524
Get Book Here
Book Description
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.
Author: Philipp Koehn
Publisher: Cambridge University Press
ISBN: 1108497322
Category : Computers
Languages : en
Pages : 409
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Book Description
Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
Author: Chan Sin-wai
Publisher: Taylor & Francis
ISBN: 1000851540
Category : Foreign Language Study
Languages : en
Pages : 877
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Book Description
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.
Author: Sergei Nirenburg
Publisher: IOS Press
ISBN: 9789051990744
Category : Computers
Languages : en
Pages : 338
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Book Description
Author: Meng Ji
Publisher: Cambridge University Press
ISBN: 1108423272
Category : Computers
Languages : en
Pages : 285
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Book Description
Introduces the integration of theoretical and applied translation studies for socially-oriented and data-driven empirical translation research.
Author: Dimitra Anastasiou
Publisher: Cambridge Scholars Publishing
ISBN: 1443825409
Category : Computers
Languages : en
Pages : 265
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Book Description
In 1975, Searle stated that one should speak idiomatically unless there is some good reason not to do so. Fillmore, Kay, and O’Connor in 1988 defined an idiomatic expression or construction as something that a language user could fail to know while knowing everything else in the language. Our language is rich in conversational phrases, idioms, metaphors, and general expressions used in metaphorical meaning. These idiomatic expressions pose a particular challenge for Machine Translation (MT), because their translation for the most part does not work literally, but logically. The present book shows how idiomatic expressions can be recognized and correctly translated with the help of a bilingual idiom dictionary (English-German), a monolingual (German) corpus, and morphosyntactic rules. The work focuses on the field of Example-based Machine Translation (EBMT). A theory of idiomatic expressions with their syntactic and semantic properties is provided, followed by the practical part of the book which describes how the hybrid EBMT system METIS-II is able to correctly process idiomatic expressions. A comparison of METIS-II with three commercial systems shows that idioms are not impossible to translate as it was predicted in 1952: “The only way for a machine to treat idioms is—not to have idioms!” This book furnishes plenty of examples of idiomatic phrases and provides the foundation for how MT systems can process and translate idioms by means of simple linguistic resources.
Author: Philip Williams
Publisher: Springer Nature
ISBN: 3031021649
Category : Computers
Languages : en
Pages : 190
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Book Description
This unique book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies. While phrase-based models have previously dominated the field, syntax-based approaches have proved a popular alternative, as they elegantly solve many of the shortcomings of phrase-based models. The heart of this book is a detailed introduction to decoding for syntax-based models. The book begins with an overview of synchronous-context free grammar (SCFG) and synchronous tree-substitution grammar (STSG) along with their associated statistical models. It also describes how three popular instantiations (Hiero, SAMT, and GHKM) are learned from parallel corpora. It introduces and details hypergraphs and associated general algorithms, as well as algorithms for decoding with both tree and string input. Special attention is given to efficiency, including search approximations such as beam search and cube pruning, data structures, and parsing algorithms. The book consistently highlights the strengths (and limitations) of syntax-based approaches, including their ability to generalize phrase-based translation units, their modeling of specific linguistic phenomena, and their function of structuring the search space.
Author: Stephen D. Richardson
Publisher: Springer
ISBN: 3540458204
Category : Computers
Languages : en
Pages : 275
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Book Description
AMTA 2002: From Research to Real Users Ever since the showdown between Empiricists and Rationalists a decade ago at TMI 92, MT researchers have hotly pursued promising paradigms for MT, including da- driven approaches (e.g., statistical, example-based) and hybrids that integrate these with more traditional rule-based components. During the same period, commercial MT systems with standard transfer archit- tures have evolved along a parallel and almost unrelated track, increasing their cov- age (primarily through manual update of their lexicons, we assume) and achieving much broader acceptance and usage, principally through the medium of the Internet. Webpage translators have become commonplace; a number of online translation s- vices have appeared, including in their offerings both raw and postedited MT; and large corporations have been turning increasingly to MT to address the exigencies of global communication. Still, the output of the transfer-based systems employed in this expansion represents but a small drop in the ever-growing translation marketplace bucket.
Author: Abdelhadi Soudi
Publisher: John Benjamins Publishing
ISBN: 9027273626
Category : Language Arts & Disciplines
Languages : en
Pages : 167
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Book Description
This book is the first volume that focuses on the specific challenges of machine translation with Arabic either as source or target language. It nicely fills a gap in the literature by covering approaches that belong to the three major paradigms of machine translation: Example-based, statistical and knowledge-based. It provides broad but rigorous coverage of the methods for incorporating linguistic knowledge into empirical MT. The book brings together original and extended contributions from a group of distinguished researchers from both academia and industry. It is a welcome and much-needed repository of important aspects in Arabic Machine Translation such as morphological analysis and syntactic reordering, both central to reducing the distance between Arabic and other languages. Most of the proposed techniques are also applicable to machine translation of Semitic languages other than Arabic, as well as translation of other languages with a complex morphology.
Author: Chiew Kin Quah
Publisher: Springer
ISBN: 0230287107
Category : Language Arts & Disciplines
Languages : en
Pages : 241
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Book Description
Chiew Kin Quah draws on years of academic and professional experience to provide an account of translation technology, its applications and capabilities. Major developments from North America, Europe and Asia are described, including developments in uses and users of the technology.
