Automated speaking assessment : using language technologies to score spontaneous speech /
edited by Klaus Zechner and Keelan Evanini
- New York : Routledge, 2020.
- xvi, 211 p.
List of Contributors
Series Editors' Foreword
Acknowledgments
List of Tables and Figures
Part I: Introduction
Chapter 1: Overview of Automated Speech Scoring
Keelan Evanini and Klaus Zechner
Chapter 2: Validity Considerations for Using Automated Scoring in Speaking Assessment
Mo Zhang, Brent Bridgeman, and Larry Davis
Chapter 3: Assessing Scoring Accuracy and Assessment Accuracy for Spoken Responses Using Human and Machine Scores
Mo Zhang, Lili Yao, Shelby J. Haberman, and Neil J. Dorans
Part II: Components of an Automated Speech Scoring System
Chapter 4: Automatic Speech Recognition for Automated Speech Scoring
Yao Qian, Patrick Lange, and Keelan Evanini
Chapter 5: Scoring and Filtering Models for Automated Speech Scoring
Anastassia Loukina and Su-Youn Yoon
Part III: Speech Features
Introduction to Part III
Klaus Zechner
Chapter 6: Features Measuring Fluency and Pronunciation
Ching-Ni Hsieh, Klaus Zechner, and Xiaoming Xi
Chapter 7: Features Measuring Vocabulary and Grammar
Su-Youn Yoon, Xiaofei Lu, and Klaus Zechner
Chapter 8: Features Measuring Content and Discourse Coherence
Xinhao Wang and Keelan Evanini
Part IV: Recent Developments and Outlook
Chapter 9: Providing SpeechRater Feature Performance as Feedback on Spoken Responses
Lin Gu and Larry Davis
Chapter 10: Beyond Monologues: Automated Processing of Conversational Speech
Vikram Ramanarayanan, Keelan Evanini, and Eugene Tsuprun
Chapter 11: Summary and Outlook on Automated Speech Scoring
Klaus Zechner
Appendix
Index
9781138056879
Test of English as a Foreign Language --Evaluation Oral communication Educational tests and measurements--Data processing English language--Foreign speakers --Study and teaching