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Author:   David M. Palfreyman (Zayed University, United Arab Emirates) ,  Nizar Habash (New York University Abu Dhabi, United Arab Emirates)
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.453kg
ISBN:  

9781032025629

ISBN 10:   103202562
Pages:   290
Publication Date:   23 December 2022
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

"Table of contents List of Contributors Why a bilingual writer corpus? Motivations and approaches (David M. Palfreyman) ZAEBUC design and annotation: guidelines, processes, and insights (Nizar Habash, David M. Palfreyman) The application of the CEFR to the assessment of L1 competence and plurilingual competence: methodology, possibilities and challenges (Salwa Mohamed) Semantic domains across topics, genders and languages (Nouran Khallaf, Elvis de Souza, Mahmoud El-Haj, Paul Rayson) Can adult lexical diversity be measured bilingually? A proof-of-concept study (Rima Elabdali, Shira Wein, Lourdes Ortega) Lexical collocations in Arabic-English bilinguals’ writing across two proficiency levels (Ali Al Sharef, Michael Bowles) Personal metadiscourse and stance in Arabic and English essays: a comparative study (Basma Bouziri) ""Social media has invaded our homes, our lives and even our dining tables"": metaphor in bilingual writers’ discourse about social media (David M. Palfreyman, Omnia Amin) Corpus-based SLA research: potential applications for ZAEBUC and beyond (Stefanie Wulff, Samantha Creel) Index"

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Author Information

David M. Palfreyman is Professor of Language Studies and Assistant Dean for Research and Outreach at Zayed University, Dubai. He is a language teacher educator, a specialist in academic biliteracy, and founding editor of the journal Learning and Teaching in Higher Education: Gulf Perspectives. Nizar Habash is Professor of Computer Science and Director of the Computational Approaches to Modeling Language (CAMeL) Lab at New York University Abu Dhabi. His research includes extensive work on machine translation, morphological analysis, and computational modelling of Arabic and its dialects.

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