Machine Translation And Global Research PDF Download
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Author | : Lynne Bowker |
Publisher | : Emerald Publishing Limited |
Total Pages | : 0 |
Release | : 2019-05-01 |
Genre | : Computers |
ISBN | : 9781787567221 |
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.
Author | : Lynne Bowker |
Publisher | : Emerald Group Publishing |
Total Pages | : 128 |
Release | : 2019-05-01 |
Genre | : Computers |
ISBN | : 1787567230 |
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.
Author | : Joseph Olive |
Publisher | : Springer Science & Business Media |
Total Pages | : 956 |
Release | : 2011-03-02 |
Genre | : Computers |
ISBN | : 1441977139 |
Download Handbook of Natural Language Processing and Machine Translation Book in PDF, ePub and Kindle
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.
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.
Author | : Cyril Goutte |
Publisher | : MIT Press |
Total Pages | : 329 |
Release | : 2009 |
Genre | : Computers |
ISBN | : 0262072971 |
Download Learning Machine Translation Book in PDF, ePub and Kindle
How Machine Learning can improve machine translation: enabling technologies and new statistical techniques.
Author | : Robert E. Frederking |
Publisher | : Springer Science & Business Media |
Total Pages | : 291 |
Release | : 2004-09-21 |
Genre | : Language Arts & Disciplines |
ISBN | : 3540233008 |
Download Machine Translation: From Real Users to Research Book in PDF, ePub and Kindle
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.
Author | : Sergei Nirenburg |
Publisher | : MIT Press |
Total Pages | : 444 |
Release | : 2003 |
Genre | : Computers |
ISBN | : 9780262140744 |
Download Readings in Machine Translation Book in PDF, ePub and Kindle
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.
Author | : Philipp Koehn |
Publisher | : Cambridge University Press |
Total Pages | : 447 |
Release | : 2010 |
Genre | : Computers |
ISBN | : 0521874157 |
Download Statistical Machine Translation Book in PDF, ePub and Kindle
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.
Author | : Philipp Koehn |
Publisher | : Cambridge University Press |
Total Pages | : 409 |
Release | : 2020-06-18 |
Genre | : Computers |
ISBN | : 1108497322 |
Download Neural Machine Translation Book in PDF, ePub and Kindle
Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
Author | : Stephen D. Richardson |
Publisher | : Springer |
Total Pages | : 275 |
Release | : 2003-06-30 |
Genre | : Computers |
ISBN | : 3540458204 |
Download Machine Translation: From Research to Real Users Book in PDF, ePub and Kindle
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.