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A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 2017
Yoo Rhee Oh
|
Hyung-Bae Jeon
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Hwa Jeon Song
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Yun-Kyung Lee
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Jeon-Gue Park
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Yun-Keun Lee
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
BEA |
WS |
SIG: SIGEDU
Citations
URL
A Report on the 2017 Native Language Identification Shared Task
Shervin Malmasi
|
Keelan Evanini
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Aoife Cahill
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Joel Tetreault
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Robert Pugh
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Christopher Hamill
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Diane Napolitano
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Yao Qian
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https://doi.org/10.1109/5.880084
https://doi.org/10.1016/j.specom.2015.07.006
http://arxiv.org/abs/1202.2745
https://doi.org/10.1109/ICASSP.2007.367023
https://doi.org/10.1007/978-3-
https://doi.org/10.4218/etrij.16.0115.0499
http://hdl.handle.net/1959.14/1110919
https://doi.org/10.1017/S1351324915000406
https://doi.org/10.21437/Interspeech.2016-129
https://doi.org/10.1145/1101149.1101236
Field Of Study
Task
Language Identification
Native Language Identification
Approach
Deep Learning
Language
Multilingual
Korean
Arabic
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