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机器翻译 MIT新概念丛书 英文原版 Machine Translation 英文版进口原版英语书籍 Thierry Poibeau

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机器翻译 MIT新概念丛书 英文原版 Machine Translation 英文版进口原版英语书籍 Thierry Poibeau 商品图0
机器翻译 MIT新概念丛书 英文原版 Machine Translation 英文版进口原版英语书籍 Thierry Poibeau 商品图1
机器翻译 MIT新概念丛书 英文原版 Machine Translation 英文版进口原版英语书籍 Thierry Poibeau 商品图2
机器翻译 MIT新概念丛书 英文原版 Machine Translation 英文版进口原版英语书籍 Thierry Poibeau 商品图3
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书名:Machine Translation机器翻译(MIT新概念丛书)
作者:Thierry Poibeau
出版社名称:MIT Press

出版时间:2017

语种:英语
ISBN
9780262534215
商品尺寸:12.9 x 1.7 x 17.9 cm
包装:平装
页数:296(以实物为准)

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.

Thierry Poibeau is Director of Research at the Centre National de la Recherche Scientifique in Paris, Head of the LATTICE (Langues, Textes, Traitements Informatiques et Cognition) Laboratory, and Affiliated Lecturer in the Department of Theoretical and Applied Linguistics at the University of Cambridge.

 

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机器翻译 MIT新概念丛书 英文原版 Machine Translation 英文版进口原版英语书籍 Thierry Poibeau

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