Second Language Prosody and Computer Modeling

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A01=Alyssa Kermad
A01=David O. Johnson
A01=Okim Kang
Alyssa Kermad
applied linguistics
ASR Technology
Author_Alyssa Kermad
Author_David O. Johnson
Author_Okim Kang
automated language assessment
automated language evaluation
automatic speech recognition systems
Boundary Tone
Break Indices
CALL
Cart Model
Category=CFH
computational models for language learning
computer modeling
computer science
computer-assisted language learning
David Brazil
David O. Johnson
discourse analysis methods
discourse prosody
English as a foreign language
English As A Lingua Franca
English as a second language
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eq_dictionaries-language-reference
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eq_isMigrated=2
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Fundamental Frequency
Intonational Phrase
Janet B. Pierrehumbert
L2 English varieties
L2 speakers
Language Prosody
Machine Learning Model
Maximal Onset Principle
native speakers of English
naturalistic second language discourse
non-native speakers of English
Non-native Speech
Okim Kang
Oral Proficiency
oral proficiency assessment
Phonation Time Ratio
Pitch Accent
Prominent Syllable
prosodic analysis
prosody
Relative Pitch
Second Language Prosody and Computer Modeling
Silent Pauses
speech communication
speech science
speech technology
suprasegmental analysis
Syllabification Algorithms
Syllabification Rules
technological applications of linguistics
Tone Choice
Tone Units
Tonic Syllable
VOT Duration
Vowel Duration
Vowel Space

Product details

  • ISBN 9781032070339
  • Weight: 289g
  • Dimensions: 152 x 229mm
  • Publication Date: 31 May 2023
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

Okim Kang is Professor of Applied Linguistics and Director of the Applied Linguistics Speech Lab at Northern Arizona University, Flagstaff, AZ. Her research interests include speech production and perception, L2 pronunciation and intelligibility, L2 oral assessment and testing, automated scoring and speech recognition, World Englishes, and language attitude.

David O. Johnson is an associate teaching professor of Electrical Engineering and Computer Science at the University of Kansas. His research interests are in artificial intelligence, machine learning, natural language processing, and human-robot interaction.

Alyssa Kermad is an assistant professor of Applied Linguistics and TESOL at California State Polytechnic University, Pomona. Her research interests are in second language speech and pronunciation, speech perception, prosody and pragmatics, second language acquisition, individual differences, and speech assessment.

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