Using an Automated Content Scoring Engine for Spoken CALL Responses: The ETS Submission for the Spoken CALL Challenge CALL WER
- Author(s):
-
Evanini, Keelan;
Mulholland, Matthew;
Tsuprun, Eugene;
Qian, Yao
- Publication Year:
- 2017
- Source:
-
Proceedings of the 7th ISCA Workshop on Speech and Language Technology in Education, Stockholm Sweden, Aug 25-26, 2017, p97-102
- Document Type:
- Chapter
- Page Count:
- 6
- Subject/Key Words:
-
Computer-Assisted Language Learning (CALL),
Automated Scoring of Speech,
Automatic Speech Recognition,
Automated Scoring and Natural Language Processing,
Data Sets,
Bias,
Grammar,
Human Scoring,
Machine Learning,
Word Error Rate (WER)
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