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L2 Spoken Discourse - Linguistic Features and Analyses
Loot Price: R1,240
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L2 Spoken Discourse - Linguistic Features and Analyses
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This book integrates theoretical and practical perspectives on
computer-assisted analysis of spoken discourse, reflecting recent
important developments in speech analysis for language teaching and
assessment. Bringing together into one volume the methods and
approaches for analysis of speech properties and spoken discourse,
Ghanem, Kang, and Kostromitina illustrate the importance of
adaptive learning technologies in analysing speech. The book offers
a comprehensive go-to resource for the description of various
features in second language L2 spoken discourse as well as a guide
for manners in which they can be extracted and analyzed. The
proposed text aims to accomplish its goal by providing an overview
of linguistic features found in L2 acquisition, clarifying
evidence-based constructs in L2 speech, and applying various
analyses to suggestions for practice. This book brings together
various strands of research and application with an emphasis on
analysis of speech properties, which can be a gate-keeping function
of speech. In particular, its innovative approach lies with the
introduction of segmental, suprasegmental, lexico-grammatical, and
pragmatic features in the analysis of L2 speech. This approach
offers a more comprehensive view of L2 spoken discourse which can
be extremely beneficial for L2 research and pedagogy. Covering the
speech of both native and non-native speakers, but with particular
relevance for second language acquisition, this book is essential
reading for graduate students, teachers and researchers in applied
linguistics, TESOL and other speech science-related fields.
General
Imprint: |
Routledge
|
Country of origin: |
United Kingdom |
Release date: |
September 2023 |
First published: |
2024 |
Authors: |
Romy Ghanem
• Okim Kang
• Maria Kostromitina
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Dimensions: |
234 x 156mm (L x W) |
Pages: |
236 |
ISBN-13: |
978-0-367-14073-1 |
Categories: |
Books
Promotions
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LSN: |
0-367-14073-X |
Barcode: |
9780367140731 |
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