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Automated grammatical error detection for language learners / Claudia Leacock, CTB McGraw-Hill [and three others].

By: Leacock, Claudia [author.]
Contributor(s): Chodorow, Martin [author.] | Gamon, Michael [author.] | Tetreault, Joel [author.]
Material type: TextTextSeries: Synthesis lectures on human language technologies, 25Publisher: [San Rafael, California] : Morgan and Claypool Publishers, [2014]Copyright date: c2014Edition: Second editionDescription: xv, 154 pages : illustrations ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781627050135Subject(s): English language -- Errors of usage -- Computer-assisted instruction | English language -- Study and teaching -- Foreign speakers -- Computer-assisted instruction | English language -- Grammar -- Computer-assisted instruction for foreign speakers | Humanities: English November2019Genre/Form: -- Reading bookDDC classification: 428.00785 Summary: 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.
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Includes appendices.

Includes bibliographical references.

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.

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