This volume presents an interdisciplinary approach to the study of second language prosody and computer modeling. It addresses the importance of prosody’s role in communication, bridging the gap between applied linguistics and computer science. The book illustrates the growing importance of the relationship between automated speech recognition systems and language learning assessment in light of new technologies and showcases how the study of prosody in this context in particular can offer innovative insights into the computerized process of natural discourse. The book offers detailed accounts of different methods of analysis and computer models used and demonstrates how these models can be applied to L2 discourse analysis toward predicting real-world language use. Kang, Johnson, and Kermad also use these frameworks as a jumping-off point from which to propose new models of second language prosody and future directions for prosodic computer modeling more generally. Making the case for the use of naturalistic data for real-world applications in empirical research, this volume will foster interdisciplinary dialogues across students and researchers in applied linguistics, speech communication, speech science, and computer engineering.
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.
This volume presents an interdisciplinary approach to the study of second language prosody and computer modeling. It addresses the importance of prosody’s role in communication, bridging the gap between applied linguistics and computer science. The book illustrates the growing importance of the relationship between automated speech recognition systems and language learning assessment in light of new technologies and showcases how the study of prosody in this context in particular can offer innovative insights into the computerized process of natural discourse. The book offers detailed accounts of different methods of analysis and computer models used and demonstrates how these models can be applied to L2 discourse analysis toward predicting real-world language use. Kang, Johnson, and Kermad also use these frameworks as a jumping-off point from which to propose new models of second language prosody and future directions for prosodic computer modeling more generally. Making the case for the use of naturalistic data for real-world applications in empirical research, this volume will foster interdisciplinary dialogues across students and researchers in applied linguistics, speech communication, speech science, and computer engineering.
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.
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