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Second language prosody and computer modeling [electronic resource] / Okim Kang, David O. Johnson, Alyssa Kermad.

By: Contributor(s): Material type: TextTextLanguage: English Series: Routledge studies in applied linguisticsPublication details: New York : Routledge 2021.Description: 1 online resourceISBN:
  • 9781000435580
  • 100043558X
  • 9781000435603
  • 1000435601
  • 9781003022695
  • 1003022693
Subject(s): DDC classification:
  • 414.60285
Online resources: Summary: 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.
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Item type Current library Call number Materials specified Status Date due Barcode Item holds
E-Books E-Books National Library of India Online Resource 414.60285 (Browse shelf(Opens below)) Available EBK000031142ENG
Total holds: 0

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.

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