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Machine Translation and Global Research

Machine Translation and Global Research
Author: Lynne Bowker
Publisher: Emerald Publishing Limited
Total Pages: 0
Release: 2019-05-01
Genre: Computers
ISBN: 9781787567221

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Lynne Bowker and Jairo Buitrago Ciro introduce the concept of machine translation literacy, a new kind of literacy for scholars and librarians in the digital age. This book is a must-read for researchers and information professionals eager to maximize the global reach and impact of any form of scholarly work.


Machine Translation and Global Research

Machine Translation and Global Research
Author: Lynne Bowker
Publisher: Emerald Group Publishing
Total Pages: 128
Release: 2019-05-01
Genre: Computers
ISBN: 1787567230

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Lynne Bowker and Jairo Buitrago Ciro introduce the concept of machine translation literacy, a new kind of literacy for scholars and librarians in the digital age. This book is a must-read for researchers and information professionals eager to maximize the global reach and impact of any form of scholarly work.


Handbook of Natural Language Processing and Machine Translation

Handbook of Natural Language Processing and Machine Translation
Author: Joseph Olive
Publisher: Springer Science & Business Media
Total Pages: 956
Release: 2011-03-02
Genre: Computers
ISBN: 1441977139

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This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program--The Global Autonomous Language Exploitation within the Defense Advanced Research Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation. The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research programs, each of the individual processes was performed separately and sequentially: speech recognition, language recognition, transcription, translation, and content summarization. The GALE program employed a distinctly new approach by executing these processes simultaneously. Speech and language recognition algorithms now aid translation and transcription processes and vice versa. This combination of previously distinct processes has produced significant research and performance breakthroughs and has fundamentally changed the natural language processing and machine translation fields. This comprehensive handbook provides an exhaustive exploration into these latest technologies in natural language, speech and signal processing, and machine translation, providing researchers, practitioners and students with an authoritative reference on the topic.


Machine Translation and Global Research

Machine Translation and Global Research
Author: Lynne Bowker
Publisher: Emerald Group Publishing
Total Pages: 128
Release: 2019-05-01
Genre: Computers
ISBN: 1787567214

Download Machine Translation and Global Research Book in PDF, ePub and Kindle

Lynne Bowker and Jairo Buitrago Ciro introduce the concept of machine translation literacy, a new kind of literacy for scholars and librarians in the digital age. This book is a must-read for researchers and information professionals eager to maximize the global reach and impact of any form of scholarly work.


Learning Machine Translation

Learning Machine Translation
Author: Cyril Goutte
Publisher: MIT Press
Total Pages: 329
Release: 2009
Genre: Computers
ISBN: 0262072971

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How Machine Learning can improve machine translation: enabling technologies and new statistical techniques.


Machine Translation: From Real Users to Research

Machine Translation: From Real Users to Research
Author: Robert E. Frederking
Publisher: Springer Science & Business Media
Total Pages: 291
Release: 2004-09-21
Genre: Language Arts & Disciplines
ISBN: 3540233008

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The previous conference in this series (AMTA 2002) took up the theme “From Research to Real Users”, and sought to explore why recent research on data-driven machine translation didn’t seem to be moving to the marketplace. As it turned out, the ?rst commercial products of the data-driven research movement were just over the horizon, andintheinterveningtwoyearstheyhavebeguntoappearinthemarketplace. Atthesame time,rule-basedmachinetranslationsystemsareintroducingdata-driventechniquesinto the mix in their products. Machine translation as a software application has a 50-year history. There are an increasing number of exciting deployments of MT, many of which will be exhibited and discussed at the conference. But the scale of commercial use has never approached the estimates of the latent demand. In light of this, we reversed the question from AMTA 2002, to look at the next step in the path to commercial success for MT. We took user needs as our theme, and explored how or whether market requirements are feeding into research programs. The transition of research discoveries to practical use involves te- nicalquestionsthatarenotassexyasthosethathavedriventheresearchcommunityand research funding. Important product issues such as system customizability, computing resource requirements, and usability and ?tness for particular tasks need to engage the creativeenergiesofallpartsofourcommunity,especiallyresearch,aswemovemachine translation from a niche application to a more pervasive language conversion process. Thesetopicswereaddressedattheconferencethroughthepaperscontainedinthesep- ceedings, and even more speci?cally through several invited presentations and panels.


Readings in Machine Translation

Readings in Machine Translation
Author: Sergei Nirenburg
Publisher: MIT Press
Total Pages: 444
Release: 2003
Genre: Computers
ISBN: 9780262140744

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The field of machine translation (MT) - the automation of translation between human languages - has existed for more than 50 years. MT helped to usher in the field of computational linguistics and has influenced methods and applications in knowledge representation, information theory, and mathematical statistics.


Statistical Machine Translation

Statistical Machine Translation
Author: Philipp Koehn
Publisher: Cambridge University Press
Total Pages: 447
Release: 2010
Genre: Computers
ISBN: 0521874157

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The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.


Neural Machine Translation

Neural Machine Translation
Author: Philipp Koehn
Publisher: Cambridge University Press
Total Pages: 409
Release: 2020-06-18
Genre: Computers
ISBN: 1108497322

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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.


Machine Translation: From Research to Real Users

Machine Translation: From Research to Real Users
Author: Stephen D. Richardson
Publisher: Springer
Total Pages: 275
Release: 2003-06-30
Genre: Computers
ISBN: 3540458204

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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.