LINGUIST List 28.3981

Thu Sep 28 2017

Books: Syntax-based Statistical Machine Translation: Hirst (ed.), Williams, Sennrich, Post, Koehn

Editor for this issue: Michael Czerniakowski <mikelinguistlist.org>


Date: 28-Sep-2017
From: David Schlangen <schlangenmorganclaypool.com>
Subject: Syntax-based Statistical Machine Translation: Hirst (ed.), Williams, Sennrich, Post, Koehn
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Title: Syntax-based Statistical Machine Translation
Series Title: Synthesis Lectures on Human Language Technologies
Published: 2017
Publisher: Morgan & Claypool Publishers
                http://www.morganclaypool.com

Book URL: http://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=963

Author: Philip Williams
Author: Rico Sennrich
Author: Matt Post
Author: Philipp Koehn
Editor: Graeme Hirst
Electronic: ISBN: 9781627055024 Pages: 208 Price: U.S. $ 56
Paperback: ISBN: 9781627059008 Pages: 208 Price: U.S. $ 70
Abstract:

This unique book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies. While phrase-based models have previously dominated the field, syntax-based approaches have proved a popular alternative, as they elegantly solve many of the shortcomings of phrase-based models. The heart of this book is a detailed introduction to decoding for syntax-based models.

The book begins with an overview of synchronous-context free grammar (SCFG) and synchronous tree-substitution grammar (STSG) along with their associated statistical models. It also describes how three popular instantiations (Hiero, SAMT, and GHKM) are learned from parallel corpora. It introduces and details hypergraphs and associated general algorithms, as well as algorithms for decoding with both tree and string input. Special attention is given to efficiency, including search approximations such as beam search and cube pruning, data structures, and parsing algorithms. The book consistently highlights the strengths (and limitations) of syntax-based approaches, including their ability to generalize phrase-based translation units, their modeling of specific linguistic phenomena, and their function of structuring the search space.

Linguistic Field(s): Cognitive Science
                            Computational Linguistics

Written In: English (eng)

See this book announcement on our website:
http://linguistlist.org/pubs/books/get-book.cfm?BookID=119954


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Page Updated: 28-Sep-2017