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%0 Conference Proceedings
%T Plausibility and Well-formedness Acceptability Test on Deep Neural Nativeness Classification
%A Park, Kwonsik
%A Song, Sanghoun
%Y Nguyen, Minh Le
%Y Luong, Mai Chi
%Y Song, Sanghoun
%S Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation
%D 2020
%8 October
%I Association for Computational Linguistics
%C Hanoi, Vietnam
%F park-song-2020-plausibility
%U https://aclanthology.org/2020.paclic-1.27
%P 234-242

Markdown (Informal)

[Plausibility and Well-formedness Acceptability Test on Deep Neural Nativeness Classification](https://aclanthology.org/2020.paclic-1.27) (Park & Song, PACLIC 2020)

• Plausibility and Well-formedness Acceptability Test on Deep Neural Nativeness Classification (Park & Song, PACLIC 2020)

ACL

• Kwonsik Park and Sanghoun Song. 2020. Plausibility and Well-formedness Acceptability Test on Deep Neural Nativeness Classification. In Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, pages 234–242, Hanoi, Vietnam. Association for Computational Linguistics.