LINGUIST List 22.4680

Wed Nov 23 2011

Books: Computational Linguistics: Petrov

Editor for this issue: Danniella Hornby <daniellalinguistlist.org>


        1.     Jolanda Voogd , Coarse-to-Fine Natural Language Processing: Petrov


Message 1: Coarse-to-Fine Natural Language Processing: Petrov
Date: 23-Nov-2011
From: Jolanda Voogd <Jolanda.Voogdspringer.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 Published: 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 betremendous. To develop this capability we need to be able to automaticallyand efficiently analyze large amounts of text. Manually devised rules are notsufficient to provide coverage to handle the complex structure of naturallanguage, necessitating systems that can automatically learn from examples.To handle the flexibility of natural language, it has become standard practiceto use statistical models, which assign probabilities for example to thedifferent meanings of a word or the plausibility of grammatical constructions.

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

Coarse-to-fine approaches exploit a sequence of models which introducecomplexity gradually. At the top of the sequence is a trivial model in whichlearning and inference are both cheap. Each subsequent model refines theprevious one, until a final, full-complexity model is reached. Applications ofthis framework to syntactic parsing, speech recognition and machinetranslation are presented, demonstrating the effectiveness of the approach interms of accuracy and speed. This book is intended for students andresearchers interested in statistical approaches to Natural LanguageProcessing.

Slav's work Coarse-to-Fine Natural Language Processing represents a majoradvance in the area of syntactic parsing, and a great advertisement for thesuperiority 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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