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%0 Conference Proceedings
%T Syllable and language model based features for detecting non-scorable tests in spoken language proficiency assessment applications
%A Metallinou, Angeliki
%A Cheng, Jian
%Y Tetreault, Joel
%Y Burstein, Jill
%Y Leacock, Claudia
%S Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications
%D 2014
%8 June
%I Association for Computational Linguistics
%C Baltimore, Maryland
%F metallinou-cheng-2014-syllable
%R 10.3115/v1/W14-1811
%U https://aclanthology.org/W14-1811
%U https://doi.org/10.3115/v1/W14-1811
%P 89-98

Markdown (Informal)

[Syllable and language model based features for detecting non-scorable tests in spoken language proficiency assessment applications](https://aclanthology.org/W14-1811) (Metallinou & Cheng, BEA 2014)

• Syllable and language model based features for detecting non-scorable tests in spoken language proficiency assessment applications (Metallinou & Cheng, BEA 2014)

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.