Neural machine translation / Philipp Koehn, Center for Speech and Language Processing, Department of Computer Science, Johns Hopkins University.

Format:

Book

Author/Creator:

Koehn, Philipp, author.

Language:

English

Subjects (All):

Machine translation.

Neural networks (Computer science).

Physical Description:

xiv, 393 pages : illustrations ; 25 cm

Edition:

First edition.

Place of Publication:

New York : Cambridge University Press, 2020.

Summary:

"A decade after the publication of my textbook Statistical Machine Translation, translation technology has changed drastically. As in other areas of artificial intelligence, deep neural networks have become the dominant paradigm, bringing with them impressive improvements of translation quality but also new challenges. What you are holding in your hands started out four years ago as a chapter of an envisioned second edition of that textbook, but the new way of doing things expanded so dramatically, and so little of previous methods is still relevant, that the text has grown into a book of its own right. Besides the chapter on evaluation, there is very little overlap between these two books. For the novice reader interested in machine translation, this is good news. We all started anew a few years ago, so you are not far behind in learning about the state of the art in the field"-- Provided by publisher.

Notes:

Includes bibliographical references and index.

Other Format:

Online version: Koehn, Philipp, 1971- Neural machine translation

ISBN:

9781108497329

1108497322

OCLC:

1125276049