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

428.007 6 ZEC E