Designing and Evaluating Language Corpora (Paperback or Softback)

Egbert, Jesse

ISBN 10: 1316605884 ISBN 13: 9781316605882
Published by Cambridge University Press 4/14/2022, 2022
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Corpora are ubiquitous in linguistic research, yet to date, there has been no consensus on how to conceptualize corpus representativeness and collect corpus samples. This pioneering book bridges this gap by introducing a conceptual and methodological framework for corpus design and representativeness. Written by experts in the field, it shows how corpora can be designed and built in a way that is both optimally suited to specific research agendas, and adequately representative of the types of language use in question. It considers questions such as 'what types of texts should be included in the corpus?', and 'how many texts are required?' – highlighting that the degree of representativeness rests on the dual pillars of domain considerations and distribution considerations. The authors introduce, explain, and illustrate all aspects of this corpus representativeness framework in a step-by-step fashion, using examples and activities to help readers develop practical skills in corpus design and evaluation.

About the Authors: Jesse Egbert is Associate Professor of Applied Linguistics at Northern Arizona University. He is a co-founding General Editor of Register Studies, and his recent books focus on online register variation (2018), methodogical triangulation (2016, 2020), and corpus linguistics methods (2020).

Douglas Biber is Regents' Professor of Applied Linguistics at Northern Arizona University. Previous books include Register, Genre, and Style (2009/2019), Grammar of Spoken and Written English (2021), and studies of register variation (1988, 1995, 2018).

Bethany Gray is Associate Professor of Applied Linguistics and Technology at Iowa State University. Her publications include monographs on academic research articles (2015), historical change in writing (2016). She is a co-founding General Editor of Register Studies.

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Title: Designing and Evaluating Language Corpora (...
Publisher: Cambridge University Press 4/14/2022
Publication Date: 2022
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The use of language corpora, or large samples of natural texts, has become ubiquitous in linguistic research. Yet, there are no conceptual or methodological frameworks for corpus representativeness. This book is the first to provide the field of linguistics. Seller Inventory # 508045566

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Paperback. Condition: new. Paperback. Corpora are ubiquitous in linguistic research, yet to date, there has been no consensus on how to conceptualize corpus representativeness and collect corpus samples. This pioneering book bridges this gap by introducing a conceptual and methodological framework for corpus design and representativeness. Written by experts in the field, it shows how corpora can be designed and built in a way that is both optimally suited to specific research agendas, and adequately representative of the types of language use in question. It considers questions such as 'what types of texts should be included in the corpus?', and 'how many texts are required?' highlighting that the degree of representativeness rests on the dual pillars of domain considerations and distribution considerations. The authors introduce, explain, and illustrate all aspects of this corpus representativeness framework in a step-by-step fashion, using examples and activities to help readers develop practical skills in corpus design and evaluation. The use of language corpora, or large samples of natural texts, has become ubiquitous in linguistic research. Yet, there are no conceptual or methodological frameworks for corpus representativeness. This book is the first to provide the field of linguistics with a comprehensive framework for corpus design, evaluation, and representativeness. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781316605882

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