21.3185, Books: Applied Linguistics/Computational Linguistics: Leacock et al

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LINGUIST List: Vol-21-3185. Thu Aug 05 2010. ISSN: 1068 - 4875.

Subject: 21.3185, Books: Applied Linguistics/Computational Linguistics: Leacock et al

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1)
Date: 02-Aug-2010
From: Andrea Descoteaux Hugg < andrea at morganclaypool.com >
Subject: Automated Grammatical Error Detection for Language Learners:
Leacock? et al
 

	
-------------------------Message 1 ---------------------------------- 
Date: Thu, 05 Aug 2010 12:48:30
From: Andrea Descoteaux Hugg [andrea at morganclaypool.com]
Subject: Automated Grammatical Error Detection for Language Learners: Leacock? et al

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Title: Automated Grammatical Error Detection for Language Learners 
Series Title: Synthesis Lectures on Human Language Technologies  

Publication Year: 2010 
Publisher: Morgan & Claypool Publishers
	   
	

Book URL: http://www.morganclaypool.com/doi/abs/10.2200/S00275ED1V01Y201006HLT009 


Author: Claudia Leacock?
Author: Martin Chodorow?
Author: Michael Gamon?
Author: Joel Tetreault?
Editor: Graeme Hirst

Electronic: ISBN:  9781608454716 Pages: 134 Price: U.S. $ 30.00
Paperback: ISBN:  9781608454709 Pages: 134 Price: U.S. $ 35.00


Abstract:

It has been estimated that over a billion people are using or learning
English as a second or foreign language, and the numbers are growing not
only for English but for other languages as well. These language learners
provide a burgeoning market for tools that help identify and correct
learners' writing errors. Unfortunately, the errors targeted by typical
commercial proofreading tools do not include those aspects of a second
language that are hardest to learn. This volume describes the types of
constructions English language learners find most difficult - constructions
containing prepositions, articles, and collocations. It provides an
overview of the automated approaches that have been developed to identify
and correct these and other classes of learner errors in a number of languages.

Error annotation and system evaluation are particularly important topics in
grammatical error detection because there are no commonly accepted
standards. Chapters in the book describe the options available to
researchers, recommend best practices for reporting results, and present
annotation and evaluation schemes.

The final chapters explore recent innovative work that opens new directions
for research. It is the authors' hope that this volume will contribute to
the growing interest in grammatical error detection by encouraging
researchers to take a closer look at the field and its many challenging
problems.

Table of Contents: 
Introduction 
History of Automated Grammatical Error Detection
Special Problems of Language Learners
Language Learner Data
Evaluating Error Detection Systems
Article and Preposition Errors
Collocation Errors
Different Approaches for Different Errors 
Annotating Learner Errors
New Directions
Conclusion 



Linguistic Field(s): Applied Linguistics
                     Computational Linguistics


Written In: English  (eng)
	
See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=49626


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