Livre: Leacock et al, Automated Grammatical Error Detection (2nd edition)

[Thierry Hamon]

Date: Mon, 21 Apr 2014 08:54:38 +1000
From: Graeme Hirst <gh at cs.toronto.edu>
Message-Id: <5A29AED8-46C6-4988-B7F2-9226ABD23914 at cs.toronto.edu>
X-url: http://dx.doi.org/10.2200/S00562ED1V01Y201401HLT025


BOOK ANNOUNCEMENT

Automated Grammatical Error Detection for Language Learners, Second
Edition

by Claudia Leacock, Martin Chodorow, Michael Gamon, and Joel Tetreault

Synthesis Lectures on Human Language Technologies #25 (Morgan & Claypool
Publishers), 2014, 170 pages

** This is an extensive revision of the 2010 edition of this book.

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
continue to 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: Acknowledgments / Introduction / Background / Special
Problems of Language Learners / Evaluating Error Detection Systems /
Data-Driven Approaches to Articles and Prepositions / Collocation Errors
/ Different Errors and Different Approaches / Annotating Learner Errors
/ Emerging Directions / Conclusion / Bibliography / Authors' Biographies

http://dx.doi.org/10.2200/S00562ED1V01Y201401HLT025


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