Livre: Leacock et al, Automated Grammatical Error Detection for Language Learners

[Thierry Hamon]

Date: Mon, 21 Jun 2010 17:22:33 -0400
From: Graeme Hirst <gh at cs.toronto.edu>
Message-Id: <5CB83AAF-DE45-4D71-A12B-FCA0A7D0425C at cs.toronto.edu>
X-url: http://dx.doi.org/10.2200/S00275ED1V01Y201006HLT009


BOOK ANNOUNCEMENT

Automated Grammatical Error Detection for Language Learners

Claudia Leacock, Martin Chodorow, Michael Gamon, Joel Tetreault
(Butler Hill Group, City University of New York, Microsoft Research,
and Educational Testing Service)

Synthesis Lectures on Human Language Technologies #9 (Morgan &
Claypool Publishers), 2010, xi+122 pages

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

http://dx.doi.org/10.2200/S00275ED1V01Y201006HLT009


This title is available online without charge to members of
institutions that have licensed the Synthesis Digital Library of
Engineering and Computer Science.  Members of licensing institutions
have unlimited access to download, save, and print the PDF without
restriction; use of the book as a course text is encouraged.  To find
out whether your institution is a subscriber, visit
<http://www.morganclaypool.com/page/licensed>, or just click on the
book's URL above from an institutional IP address and attempt to
download the PDF.  Others may purchase the book from this URL as a PDF
download for US$30 or in print for US$40.  Printed copies are also
available from Amazon and from booksellers worldwide at approximately
US$40 or local currency equivalent.

-------------------------------------------------------------------------
Message diffuse par la liste Langage Naturel <LN at cines.fr>
Informations, abonnement : http://www.atala.org/article.php3?id_article=48
English version       : 
Archives                 : http://listserv.linguistlist.org/archives/ln.html
                                http://liste.cines.fr/info/ln

La liste LN est parrainee par l'ATALA (Association pour le Traitement
Automatique des Langues)
Information et adhesion  : http://www.atala.org/
-------------------------------------------------------------------------