Description

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 analyzing 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 ways in which they can be extracted and analyzed. The 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.