Multiple affordances of language corpora for data-driven learning / (Record no. 2784764)

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fixed length control field 150217s2015 ne ob 001 0 eng
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LC control number 2015006473
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Language of cataloging eng
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International Standard Book Number 9789027268716
Qualifying information (pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9027268711
Qualifying information (pdf)
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Cancelled/invalid ISBN 9789027203779
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Classification number PE1074.5
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Subject category code LAN
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Classification number 420/.285
Edition number 23
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIN
245 00 - TITLE STATEMENT
Title Multiple affordances of language corpora for data-driven learning /
Statement of responsibility, etc edited by Agnieszka Lenko-Szymanska, University of Warsaw ; Alex Boulton, ATILF-CNRS / University of Lorraine.
264 #1 -
-- Amsterdam, The Netherlands ;
-- Philadelphia, PA :
-- John Benjamins Publishing Company,
-- [2015]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
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490 1# - SERIES STATEMENT
Series statement Studies in corpus linguistics,
International Standard Serial Number 1388-0373 ;
Volume number/sequential designation volume 69
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
588 0# -
-- Print version record and CIP data provided by publisher.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Table of contents; Multiple Affordances of Language Corpora for Data-driven Learning; Editorial page; Title page; LCC data; Table of contents; Editors' acknowledgements; Introduction; References; Data-driven learning and language learning theories; 1. Introduction; 2. Language learning theories and learning style; 3. The noticing hypothesis and DDL; 4. Constructivist learning and DDL; 5. Vygotskyan sociocultural theories and DDL; 6. Learning styles and DDL; 7. Conclusion; Acknowledgements; References; Teaching and language corpora; 1. Introduction; 2. Beginnings; 3. What's happened?
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3.1 1975-1985: From manual to computer analysis3.2 1986-1990; 3.3 1991-2000; 3.4 2001-2014; 4. Corpus applications in language teaching: The current situation; 5. Who's using language corpora in 2012: Findings from a survey; 5.1 Respondents; 5.2 Who is using corpora in language teaching, and in what contexts?; 5.3 What tools and resources are they using?; 5.4 Favourite resources; 6. What are the benefits?; 7. Conclusion and future directions?; References; Part I. Corpora for language learning; Learning phraseology from speech corpora; 1. Why spoken phraseology matters.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2. Constructing a speech corpus for acquiring spoken phraseology3. Analysing a speech corpus: Some examples; 3.1 Starting from a list; 3.2 Starting from a listening experience; 3.3 One thing leads to another; 4. Implications: The role of the learner; References; Stealing a march on collocation; 1. Introduction and overview; 2. The Sketch Engine; 3. A constrained definition of collocation and its affordances; 4. Collocation Plus (C+); 5. Observing and using Topic Trails in full text; 6. Conclusion; References; Appendix 1: Text examples cited; Appendix 2: Corpora cited.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note A corpus and grammatical browsing system for remedial EFL learners1. Appropriate level, needs-driven corpora for the EFL classroom; 2. Developing the Grammatical Pattern Profiling System (GPPS); 2.1 Using LWP-GRC as a model for the GPPS; 2.2 GPPS functionality; 2.3 Selection of grammatical categories; 2.4 Creation of search expressions and patterns; 3. Developing the Sentence Corpus of Remedial English (SCoRE); 3.1 Defining target population proficiency levels; 3.2 Sourcing potential corpus data; 3.3 Defining sentence length; 3.4 Defining the number of sentences.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3.5 Using the source corpus as a model for SCoRE3.6 Translation; 4. Pedagogical applications: Using SCoRE and the GPPS; 5. Limitations of SCoRE and the GPPS; 6. Conclusion; Acknowledgements; References; Part II. Corpora for skills development; Same task, different corpus; 1. Introduction; 2. Background to the course; 2.1 Course programme; 2.2 Course procedure; 3. Data; 3.1 Participants; 3.2 Corpus and worksheet data; 4. Corpus tools in the 'same task, different corpus' approach; 4.1 The Concordance tool; 4.2 The Word List tool; 4.3 The Collocates tool; 4.4 The Concordance Plot tool.
520 ## - SUMMARY, ETC.
Summary, etc Data-driven learning typically involves the use of dedicated concordancers to explore linguistic corpora, which may require significant training if the technology is not to be an obstacle for teacher and learner alike. One possibility is to begin not with corpus or concordancer, but to find parallels with what 'ordinary' users already do. This paper compares the web to a corpus, regular search engines to concordancers, and the techniques used in web searches to data-driven learning. It also examines previous studies which exploit web searches in ways not incompatible with a DDL approach.
590 ## - LOCAL NOTE (RLIN)
Local note eBooks on EBSCOhost
Provenance (VM) [OBSOLETE] EBSCO eBook Subscription Academic Collection - Worldwide
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element English language
General subdivision Study and teaching
-- Data processing.
9 (RLIN) 256051
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element English language
General subdivision Discourse analysis
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650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element English language
General subdivision Study and teaching
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Topical term or geographic name as entry element Anglais (Langue)
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Topical term or geographic name as entry element computational linguistics.
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Topical term or geographic name as entry element LANGUAGE ARTS & DISCIPLINES
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Topical term or geographic name as entry element Corpora (Linguistics)
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650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element English language
General subdivision Discourse analysis
-- Data processing.
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9 (RLIN) 139685
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element English language
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Topical term or geographic name as entry element English language
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Personal name Lenko-Szymanska, Agnieszka,
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Personal name Boulton, Alex,
Relator term editor.
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776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Title Multiple affordances of language corpora for data-driven learning.
Place, publisher, and date of publication Amsterdam ; Philadelphia : John Benjamins Publishing Company, [2015]
International Standard Book Number 9789027203779
Record control number (DLC) 2014049652
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Studies in corpus linguistics ;
Volume number/sequential designation v. 69.
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Uniform Resource Identifier <a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=987719">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=987719</a>
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