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

New from Oxford University Press!


It's Been Said Before

By Orin Hargraves

It's Been Said Before "examines why certain phrases become clichés and why they should be avoided -- or why they still have life left in them."

New from Cambridge University Press!


Sounds Fascinating

By J. C. Wells

How do you pronounce biopic, synod, and Breughel? - and why? Do our cake and archaic sound the same? Where does the stress go in stalagmite? What's odd about the word epergne? As a finale, the author writes a letter to his 16-year-old self.

Book Information

Sun Image

Title: Coarse-to-Fine Natural Language Processing
Written By: Slav Petrov
Series Title: Theory and Applications of Natural Language Processing

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

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.

Format: Hardback
ISBN: 3642227422
ISBN-13: 9783642227424