Syllable and language model based features for detecting non-scorable tests in spoken language proficiency assessment applications

Anthology ID:: W14-1811
Volume:: Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications
Month:: June
Year:: 2014
Address:: Baltimore, Maryland
Editors:: Joel Tetreault, Jill Burstein, Claudia Leacock
Venue:: BEA
SIG:: SIGEDU
Publisher:: Association for Computational Linguistics
Note:
Pages:: 89–98
Language:
URL:: https://aclanthology.org/W14-1811
DOI:: 10.3115/v1/W14-1811
Bibkey:
Cite (ACL):: Angeliki Metallinou and Jian Cheng. 2014. Syllable and language model based features for detecting non-scorable tests in spoken language proficiency assessment applications. In Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications, pages 89–98, Baltimore, Maryland. Association for Computational Linguistics.
Cite (Informal):: Syllable and language model based features for detecting non-scorable tests in spoken language proficiency assessment applications (Metallinou & Cheng, BEA 2014)
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PDF:: https://preview.aclanthology.org/nschneid-patch-1/W14-1811.pdf