Beyond concordance lines corpora in language education edited by Pascual Pérez-Paredes, Geraldine Mark.
Material type:
TextSeries: Studies in corpus linguistics ; v. 102.Publisher: Amsterdam ; Philadelphia John Benjamins Publishing Company, [2021]Description: 1 online resource illustrations (chiefly color)ISBN: 9789027258496; 902725849XSubject(s): Corpora (Linguistics) -- Data processing -- Congresses | Computational linguistics -- Congresses | Language and languages -- Computer-assisted instruction -- Congresses | Language and languages -- Study and teaching -- Congresses | Computational linguistics | Language and languages -- Computer-assisted instruction | Language and languages -- Study and teachingGenre/Form: EBSCO eBooks | Electronic books. | Conference papers and proceedings. | Conference papers and proceedings. DDC classification: 410.1/88071 LOC classification: P128.C68 | I546 2018Online resources: EBSCOhost Summary: "In over 30 years of data-driven learning (DDL) research, there has been a growing sophistication in the ways we collect, analyse and put data to use. This volume takes a three-fold perspective on DDL. It first looks at DDL and its role in informing language learning theory and how it might shed light on the language development process; secondly it addresses how DDL can help us characterise learner language and inform teaching accordingly, and thirdly it showcases practical applications for the use of DDL in classrooms. The contributors to this volume examine a variety of instructional settings and languages across the world. They reflect on theoretical, methodological and classroom implications using both novel and established language learning theories, natural language processing (NLP), longitudinal research designs and a variety of language learning targets. The present volume is an invitation from some of leading researchers in DDL to reflect on the research avenues that will define the field in the coming years"-- Provided by publisher.
Originally presented at the 13th TaLC conference, held between the 18th and the 21st of July, 2018 at the University of Cambridge.
Includes bibliographical references and index.
"In over 30 years of data-driven learning (DDL) research, there has been a growing sophistication in the ways we collect, analyse and put data to use. This volume takes a three-fold perspective on DDL. It first looks at DDL and its role in informing language learning theory and how it might shed light on the language development process; secondly it addresses how DDL can help us characterise learner language and inform teaching accordingly, and thirdly it showcases practical applications for the use of DDL in classrooms. The contributors to this volume examine a variety of instructional settings and languages across the world. They reflect on theoretical, methodological and classroom implications using both novel and established language learning theories, natural language processing (NLP), longitudinal research designs and a variety of language learning targets. The present volume is an invitation from some of leading researchers in DDL to reflect on the research avenues that will define the field in the coming years"-- Provided by publisher.
Description based on online resource; title from digital title page (viewed on December 15, 2021).
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