Machine Translation

This book PDF is perfect for those who love Language Arts & Disciplines genre, written by John Lehrberger and published by John Benjamins Publishing which was released on 01 January 1988 with total hardcover pages 240. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Machine Translation books below.

Machine Translation
Author : John Lehrberger
File Size : 52,8 Mb
Publisher : John Benjamins Publishing
Language : English
Release Date : 01 January 1988
ISBN : 9789027286208
Pages : 240 pages
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Machine Translation by John Lehrberger Book PDF Summary

The use of the computer in translating natural languages ranges from that of a translator's aid for word processing and dictionary lookup to that of a full-fledged translator on its own. However the obstacles to translating by means of the computer are primarily linguistic. To overcome them it is necessary to resolve the ambiguities that pervade a natural language when words and sentences are viewed in isolation. The problem then is to formalize, in the computer, these aspects of natural language understanding. The authors show how, from a linguistic point of view, one may form some idea of what goes on inside a system's black box, given only the input (original text) and the raw output (translated text before post-editing). Many examples of English/French translation are used to illustrate the principles involved.

Machine Translation

The use of the computer in translating natural languages ranges from that of a translator's aid for word processing and dictionary lookup to that of a full-fledged translator on its own. However the obstacles to translating by means of the computer are primarily linguistic. To overcome them it is necessary

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Neural Machine Translation

Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.

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Machine Translation

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.

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Learning Machine Translation

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

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Machine Translation

This book compares and contrasts the principles and practices of rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). Presenting numerous examples, the text introduces language divergence as the fundamental challenge to machine translation, emphasizes and works out word alignment, explores IBM models of machine translation,

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Statistical Machine Translation

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

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Readings in Machine Translation

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.

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Machine Translation

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

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