Automated Speaking Assessment

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applied linguistics education
ASR
ASR System
assessment
automated
Automated Essay Scoring
Automated Scoring
Automated Scoring System
automated speech scoring technology
automatic-update
B01=Keelan Evanini
B01=Klaus Zechner
Category1=Non-Fiction
Category=CF
Category=UYQL
Category=UYQS
communicative competence evaluation
computational linguistics
Construct Irrelevant Factors
COP=United Kingdom
Deep Neural Networks
Delivery_Delivery within 10-20 working days
dialogic speech
Educational Testing Service
eq_bestseller
eq_computing
eq_dictionaries-language-reference
eq_isMigrated=2
eq_nobargain
eq_non-fiction
ETS
Evanini
Expert Human Raters
Human Score
L2 Pronunciation
language assessment research
Language_English
Lasso Approach
Lexical Frequency Profile
machine learning for language testing
Multiple Linear Regression
Open Ended Text Responses
PA=Available
Pairwise Variability Index
Part-of Speech Taggers
POS Tag
Price_€100 and above
PS=Active
psychometric analysis
Repair Fluency
softlaunch
Speaking
Speaking Tasks
Speech
speech recognition models
Spoken Language Assessment
Spoken Responses
Technologies
TOEFL iBT
TOEFL iBT Speaking assessment
TOEFL iBT Test
Unobserved Random Vector
Word Error Rate
Zechner

Product details

  • ISBN 9781138056862
  • Weight: 458g
  • Dimensions: 152 x 229mm
  • Publication Date: 05 Dec 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
  • Language: English
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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). Its main focus is related to the automated scoring of spontaneous speech elicited by TOEFL iBT Speaking section items, but other applications of speech scoring, such as for more predictable spoken responses or responses provided in a dialogic setting, are also discussed. The book begins with an in-depth overview of the nascent field of automated speech scoring—its history, applications, and challenges—followed by a discussion of psychometric considerations for automated speech scoring. The second and third parts discuss the integral main components of an automated speech scoring system as well as the different types of automatically generated measures extracted by the system features related to evaluate the speaking construct of communicative competence as measured defined by the TOEFL iBT Speaking assessment. Finally, the last part of the book touches on more recent developments, such as providing more detailed feedback on test takers’ spoken responses using speech features and scoring of dialogic speech. It concludes with a discussion, summary, and outlook on future developments in this area. Written with minimal technical details for the benefit of non-experts, this book is an ideal resource for graduate students in courses on Language Testing and Assessment as well as teachers and researchers in applied linguistics.

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.