22.4680, Books: Computational Linguistics: Petrov

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LINGUIST List: Vol-22-4680. Wed Nov 23 2011. ISSN: 1069 - 4875.

Subject: 22.4680, Books: Computational Linguistics: Petrov

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1)
Date: 23-Nov-2011
From: Jolanda Voogd [Jolanda.Voogd at springer.com]
Subject: Coarse-to-Fine Natural Language Processing: Petrov


-------------------------Message 1 ---------------------------------- 
Date: Wed, 23 Nov 2011 15:45:27
From: Jolanda Voogd [Jolanda.Voogd at springer.com]
Subject: Coarse-to-Fine Natural Language Processing: Petrov

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Title: Coarse-to-Fine Natural Language Processing 
Series Title: Theory and Applications of Natural Language Processing  

Publication Year: 2011 
Publisher: Springer
	   http://www.springer.com
	

Book URL: http://www.springer.com/computer/book/978-3-642-22742-4 


Author: Slav Petrov

Hardback: ISBN:  9783642227424 Pages:  Price: ----  


Abstract:

The impact of computer systems that can understand natural language will be 
tremendous. To develop this capability we need to be able to automatically 
and efficiently analyze large amounts of text. Manually devised rules are not 
sufficient to provide coverage to handle the complex structure of natural 
language, necessitating systems that can automatically learn from examples. 
To handle the flexibility of natural language, it has become standard practice 
to use statistical models, which assign probabilities for example to the 
different meanings of a word or the plausibility of grammatical constructions.

This book develops a general coarse-to-fine framework for learning and 
inference in large statistical models for natural language processing. 

Coarse-to-fine approaches exploit a sequence of models which introduce 
complexity gradually. At the top of the sequence is a trivial model in which 
learning and inference are both cheap. Each subsequent model refines the 
previous one, until a final, full-complexity model is reached. Applications of 
this framework to syntactic parsing, speech recognition and machine 
translation are presented, demonstrating the effectiveness of the approach in 
terms of accuracy and speed. This book is intended for students and 
researchers interested in statistical approaches to Natural Language 
Processing. 

Slav's work Coarse-to-Fine Natural Language Processing represents a major 
advance in the area of syntactic parsing, and a great advertisement for the 
superiority of the machine-learning approach.

Eugene Charniak (Brown University) 



Linguistic Field(s): Computational Linguistics


Written In: English  (eng)
	
See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=58329




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