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Machine Translation

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Release : 2017-09-15
Genre : Computers
Kind : eBook
Book Rating : 215/5 ( reviews)

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Book Synopsis Machine Translation by : Thierry Poibeau

Download or read book Machine Translation written by Thierry Poibeau. This book was released on 2017-09-15. Available in PDF, EPUB and Kindle. Book excerpt: A concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and major players in the industry. The dream of a universal translation device goes back many decades, long before Douglas Adams's fictional Babel fish provided this service in The Hitchhiker's Guide to the Galaxy. Since the advent of computers, research has focused on the design of digital machine translation tools—computer programs capable of automatically translating a text from a source language to a target language. This has become one of the most fundamental tasks of artificial intelligence. This volume in the MIT Press Essential Knowledge series offers a concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and market potential. The main approaches are presented from a largely historical perspective and in an intuitive manner, allowing the reader to understand the main principles without knowing the mathematical details. The book begins by discussing problems that must be solved during the development of a machine translation system and offering a brief overview of the evolution of the field. It then takes up the history of machine translation in more detail, describing its pre-digital beginnings, rule-based approaches, the 1966 ALPAC (Automatic Language Processing Advisory Committee) report and its consequences, the advent of parallel corpora, the example-based paradigm, the statistical paradigm, the segment-based approach, the introduction of more linguistic knowledge into the systems, and the latest approaches based on deep learning. Finally, it considers evaluation challenges and the commercial status of the field, including activities by such major players as Google and Systran.

Neural Machine Translation

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Author :
Release : 2020-06-18
Genre : Computers
Kind : eBook
Book Rating : 322/5 ( reviews)

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Book Synopsis Neural Machine Translation by : Philipp Koehn

Download or read book Neural Machine Translation written by Philipp Koehn. This book was released on 2020-06-18. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.

Learning Machine Translation

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Author :
Release : 2009
Genre : Computers
Kind : eBook
Book Rating : 971/5 ( reviews)

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Book Synopsis Learning Machine Translation by : Cyril Goutte

Download or read book Learning Machine Translation written by Cyril Goutte. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: How Machine Learning can improve machine translation: enabling technologies and new statistical techniques.

Readings in Machine Translation

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Author :
Release : 2003
Genre : Computers
Kind : eBook
Book Rating : 744/5 ( reviews)

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Book Synopsis Readings in Machine Translation by : Sergei Nirenburg

Download or read book Readings in Machine Translation written by Sergei Nirenburg. This book was released on 2003. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Translation

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Author :
Release : 1993
Genre : Computers
Kind : eBook
Book Rating : 386/5 ( reviews)

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Book Synopsis Machine Translation by : Bonnie Jean Dorr

Download or read book Machine Translation written by Bonnie Jean Dorr. This book was released on 1993. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a novel, cross-linguistic approach to machine translation that solves certain classes of syntactic and lexical divergences by means of a lexical conceptual structure that can be composed and decomposed in language-specific ways. This approach allows the translator to operate uniformly across many languages, while still accounting for knowledge that is specific to each language.

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