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Automated grammatical error detection for language learners / (Record no. 562054)

000 -LEADER
fixed length control field 07685nam a2200793 i 4500
001 - CONTROL NUMBER
control field 6813108
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200413152913.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m eo d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn |||m|||a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140314s2014 caua foab 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781627050135
Qualifying information paperback
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781627050142
Qualifying information ebook
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.2200/S00562ED1V01Y201401HLT025
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)swl00403211
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)873083882
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.N38
Item number L422 2014
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.35
Edition number 23
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR)
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) MoCl
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Leacock, Claudia.,
Relator term author.
245 10 - TITLE STATEMENT
Title Automated grammatical error detection for language learners /
Statement of responsibility, etc. Claudia Leacock, Martin Chodorow, Michael Gamon, Joel Tetreault.
250 ## - EDITION STATEMENT
Edition statement Second edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Name of producer, publisher, distributor, manufacturer Morgan & Claypool,
Date of production, publication, distribution, manufacture, or copyright notice 2014.
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xv, 154 pages) :
Other physical details illustrations.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term electronic
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Synthesis lectures on human language technologies,
International Standard Serial Number 1947-4059 ;
Volume/sequential designation # 25
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat Reader.
500 ## - GENERAL NOTE
General note Part of: Synthesis digital library of engineering and computer science.
500 ## - GENERAL NOTE
General note Series from website.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 123-152).
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 10. Conclusion -- A. Appendix A. Learner corpora -- Bibliography -- Authors' biographies.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 9. Emerging directions -- 9.1 Shared tasks in grammatical error correction -- 9.1.1 The 2011 HOO task -- 9.1.2 The 2012 HOO task -- 9.1.3 The CoNLL 2013 shared task -- 9.1.4 Summary -- 9.2 Machine translation and error correction -- 9.2.1 Noisy channel model -- 9.2.2 Round trip machine translation (RTMT) -- 9.3 Real-time crowdsourcing of grammatical error correction -- 9.4 Does automated error feedback improve writing? --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 8. Annotating learner errors -- 8.1 Issues with learner error annotation -- 8.1.1 Number of annotators -- 8.1.2 Annotation schemes -- 8.1.3 How to correct an error -- 8.1.4 Annotation approaches -- 8.1.5 Annotation tools -- 8.2 Annotation schemes -- 8.2.1 Examples of comprehensive annotation schemes -- 8.2.2 Example of a targeted annotation scheme -- 8.3 Proposals for efficient annotation -- 8.3.1 Sampling approach with multiple annotators -- 8.3.2 Crowdsourcing annotations -- 8.3.3 Mining online community-driven revision logs -- 8.4 Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7. Different errors and different approaches -- 7.1 Heuristic rule-based approaches -- 7.1.1 Criterion system -- 7.1.2 ESL assistant -- 7.1.3 Other heuristic rule-based approaches -- 7.2 More complex verb form errors -- 7.3 Spelling errors -- 7.4 Punctuation errors -- 7.5 Detection of ungrammatical sentences -- 7.6 Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6. Collocation errors -- 6.1 Defining collocations -- 6.2 Measuring the strength of association between words -- 6.3 Systems for detecting and correcting collocation errors --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5. Data-driven approaches to articles and prepositions -- 5.1 Extracting features from training data -- 5.2 Types of training data -- 5.2.1 Training on well-formed text -- 5.2.2 Artificial errors -- 5.2.3 Error-annotated learner corpora -- 5.2.4 Comparing training paradigms -- 5.3 Methods -- 5.3.1 Classification -- 5.3.2 N-gram statistics, language models, and web counts -- 5.3.3 Web-based methods -- 5.4 Two end-to-end systems: criterion and MSR ESL assistant -- 5.5 Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4. Evaluating error detection systems -- 4.1 Traditional evaluation measures -- 4.2 Evaluation measures for shared tasks -- 4.3 Evaluation using a corpus of correct usage -- 4.4 Evaluation on learner writing -- 4.4.1 Verifying results on learner writing -- 4.4.2 Evaluation on fully annotated learner corpora -- 4.4.3 Using multiple annotators and crowdsourcing for evaluation -- 4.5 Statistical significance testing -- 4.6 Checklist for consistent reporting of system results -- 4.7 Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3. Special problems of language learners -- 3.1 Errors made by English language learners -- 3.2 The influence of L1 -- 3.3 Challenges for English language learners -- 3.3.1 The English preposition system -- 3.3.2 The English article system -- 3.3.3 English collocations -- 3.4 Summary --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2. Background -- 2.1 In the beginning -- 2.2 Introduction to data-driven and hybrid approaches --
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 1.1 Introduction to the second edition -- 1.2 New to the second edition -- 1.3 Working definition of grammatical error -- 1.4 Prominence of research on English language learners -- 1.5 Some terminology -- 1.6 Automated grammatical error detection: NLP and CALL -- 1.7 Intended audience -- 1.8 Outline --
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0# - CITATION/REFERENCES NOTE
Name of source Compendex
510 0# - CITATION/REFERENCES NOTE
Name of source INSPEC
510 0# - CITATION/REFERENCES NOTE
Name of source Google scholar
510 0# - CITATION/REFERENCES NOTE
Name of source Google book search
520 3# - SUMMARY, ETC.
Summary, etc. 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.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Title from PDF title page (viewed on March 14, 2014).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element English language
General subdivision Grammar
-- Computer programs.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element English language
General subdivision Study and teaching
-- Foreign speakers
-- Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Natural language processing (Computer science)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Error-correcting codes (Information theory)
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term grammatical error detection
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term statistical natural language processing
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term learner corpora
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term linguistic annotation
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chodorow, Martin.,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gamon, Michael.,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tetreault, Joel.,
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781627050135
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis digital library of engineering and computer science.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis lectures on human language technologies ;
Volume/sequential designation # 25.
International Standard Serial Number 1947-4059
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier http://ieeexplore.ieee.org/servlet/opac?bknumber=6813108
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to full text
Uniform Resource Identifier http://dx.doi.org/10.2200/S00562ED1V01Y201401HLT025
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Barcode Date last seen Price effective from Koha item type
        PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2020-04-13 EBKE554 2020-04-13 2020-04-13 E books

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