Automated Grammatical Error Detection for Language Learners, Second Edition (Record no. 86153)
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fixed length control field | 04054nam a22005535i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-02153-4 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730165208.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220601s2014 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031021534 |
-- | 978-3-031-02153-4 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.3 |
100 1# - AUTHOR NAME | |
Author | Leacock, Claudia. |
245 10 - TITLE STATEMENT | |
Title | Automated Grammatical Error Detection for Language Learners, Second Edition |
250 ## - EDITION STATEMENT | |
Edition statement | 2nd ed. 2014. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XV, 154 p. |
490 1# - SERIES STATEMENT | |
Series statement | Synthesis Lectures on Human Language Technologies, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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 . |
520 ## - 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. |
700 1# - AUTHOR 2 | |
Author 2 | Gamon, Michael. |
700 1# - AUTHOR 2 | |
Author 2 | Mejia, Joel Alejandro. |
700 1# - AUTHOR 2 | |
Author 2 | Chodorow, Martin. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-02153-4 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
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-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2014. |
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-- | computer |
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-- | online resource |
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347 ## - | |
-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Natural language processing (Computer science). |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational linguistics. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Natural Language Processing (NLP). |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Linguistics. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 1947-4059 |
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