Publishing Partner: Cambridge University Press CUP Extra Wiley-Blackwell Publisher Login
amazon logo
More Info


New from Oxford University Press!

ad

The Vulgar Tongue: Green's History of Slang

By Jonathon Green

A comprehensive history of slang in the English speaking world by its leading lexicographer.


New from Cambridge University Press!

ad

The Universal Structure of Categories: Towards a Formal Typology

By Martina Wiltschko

This book presents a new theory of grammatical categories - the Universal Spine Hypothesis - and reinforces generative notions of Universal Grammar while accommodating insights from linguistic typology.


New from Brill!

ad

Brill's MyBook Program

Do you have access to Dynamics of Morphological Productivity through your library? Then you can by the paperback for only €25 or $25! Find out more about Brill's MyBook program!


Book Information

   
Sun Image

Title: Coarse-to-Fine Natural Language Processing
Written By: Slav Petrov
URL: http://www.springer.com/computer/book/978-3-642-22742-4
Series Title: Theory and Applications of Natural Language Processing
Description:

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)

Publication Year: 2011
Publisher: Springer
Review: Not available for review. If you would like to review a book on The LINGUIST List, please login to view the AFR list.
BibTex: View BibTex record
Linguistic Field(s): Computational Linguistics
Issue: All announcements sent out by The LINGUIST List are emailed to our subscribers and archived with the Library of Congress.
Click here to see the original emailed issue.

Versions:
Format: Hardback
ISBN: 3642227422
ISBN-13: 9783642227424