Automated Speaking Assessment: Using Language Technologies to Score Spontaneous Speech provides a thorough overview of state-of-the-art automated speech scoring technology as it is currently used at Educational Testing Service (ETS).
Automated Speaking Assessment: Using Language Technologies to Score Spontaneous Speech provides a thorough overview of state-of-the-art automated speech scoring technology as it is currently used at Educational Testing Service (ETS).Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Klaus Zechner is a Senior Research Scientist at the Educational Testing Service and leads a team of speech scientists within the NLP & Speech group in the R&D division. Keelan Evanini (Ph.D., University of Pennsylvania) is a Research Director at the Educational Testing Service.
Inhaltsangabe
Table of Contents 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
Table of Contents 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
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