Academic Vocabulary in Learner Writing From Extraction to Analysis
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:ePUB
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inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
01.10.2014
Verlag
Bloomsbury eBooks UKSeitenzahl
256 (Printausgabe)
Auflage
1. Auflage
Sprache
Englisch
EAN
9781441102195
Academic vocabulary is in fashion, as witnessed by the increasing number of books published on the topic. In the first part of this book, Magali Paquot scrutinizes the concept of 'academic vocabulary' and proposes a corpus-driven procedure based on the criteria of keyness, range and evenness of distribution to select academic words that could be part of a common-core academic vocabulary syllabus.
In the second part, the author offers a thorough analysis of academic vocabulary in the International Corpus of Learner English (ICLE) and describes the factors that account for learners' difficulties in academic writing. She then focuses on the role of corpora, and more particularly, learner corpora, in EAP material design. It is the first monograph in which Granger's (1996) Contrastive Interlanguage Analysis is used to compare 10 ICLE learner sub-corpora, in order to distinguish between linguistic features that are shared by learners from a wide range of mother tongue backgrounds and unique features that may be transfer-related.
In the second part, the author offers a thorough analysis of academic vocabulary in the International Corpus of Learner English (ICLE) and describes the factors that account for learners' difficulties in academic writing. She then focuses on the role of corpora, and more particularly, learner corpora, in EAP material design. It is the first monograph in which Granger's (1996) Contrastive Interlanguage Analysis is used to compare 10 ICLE learner sub-corpora, in order to distinguish between linguistic features that are shared by learners from a wide range of mother tongue backgrounds and unique features that may be transfer-related.
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