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[eu_members at aclweb dot org] Automated Grammatical Error Detection for Language Learners -- 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


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


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.