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Jost Gippert: Our Featured Linguist!

"Buenos dias", "buenas noches" -- this was the first words in a foreign language I heard in my life, as a three-year old boy growing up in developing post-war Western Germany, where the first gastarbeiters had arrived from Spain. Fascinated by the strange sounds, I tried to get to know some more languages, the only opportunity being TV courses of English and French -- there was no foreign language education for pre-teen school children in Germany yet in those days. Read more



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What is English? And Why Should We Care?

By: Tim William Machan

To find some answers Tim Machan explores the language's present and past, and looks ahead to its futures among the one and a half billion people who speak it. His search is fascinating and important, for definitions of English have influenced education and law in many countries and helped shape the identities of those who live in them.


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Medical Writing in Early Modern English

Edited by Irma Taavitsainen and Paivi Pahta

This volume provides a new perspective on the evolution of the special language of medicine, based on the electronic corpus of Early Modern English Medical Texts, containing over two million words of medical writing from 1500 to 1700.


Book Information

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