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https://doi.org/10.1075/scl.11...
Book . 2024 . Peer-reviewed
Data sources: Crossref
Open Science Framework
Other literature type . 2024
Data sources: Datacite
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Textbook English

A multi-dimensional approach
Authors: Foll, Elen Le;

Textbook English

Abstract

This book provides a systematic, empirical account of the language typically presented in English as a Foreign Language (EFL) textbooks, based on a large corpus of EFL textbooks used in secondary schools. A modified version of the Multi-Dimensional Analysis (MDA) framework serves to examine linguistic variation both within textbooks and compared to corpora representing ‘real-life’ English as used outside the EFL classroom. The results highlight the characteristics of Textbook English that define it as a distinct variety of English. In light of the study's pedagogical implications, this book proposes a range of corpus-based approaches to improve the naturalness of textbook texts. It also contributes to advancing quantitative corpus linguistics methodology: its detailed online supplements aim for methodological transparency and reproducibility in line with the principles of Open Science. This book will be of interest to linguistics and language education students and researchers, as well as EFL teachers, textbook authors and editors, and those involved in curriculum development and teacher training.

Related Organizations
Keywords

ELT, MDA, [SHS.EDU] Humanities and Social Sciences/Education, [SCCO.LING] Cognitive science/Linguistics, CorpusLinguistics

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green