28.3981, Books: Syntax-based Statistical Machine Translation: Hirst (ed.), Williams, Sennrich, Post, Koehn

[The LINGUIST List]

LINGUIST List: Vol-28-3981. Thu Sep 28 2017. ISSN: 1069 - 4875.

Subject: 28.3981, Books: Syntax-based Statistical Machine Translation: Hirst (ed.), Williams, Sennrich, Post, Koehn

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Date: Thu, 28 Sep 2017 20:55:20
From: David Schlangen [schlangen at morganclaypool.com]
Subject: Syntax-based Statistical Machine Translation: Hirst (ed.), Williams, Sennrich, Post, Koehn

 


Title: Syntax-based Statistical Machine Translation 
Series Title: Synthesis Lectures on Human Language Technologies  

Publication Year: 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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