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Combining Textual and Speech Features in the NLI Task Using State-of-the-Art Machine Learning Techniques
Pavel Ircing
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Jan Švec
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Zbyněk Zajíc
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Barbora Hladká
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Martin Holub
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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
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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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http://kaldi-asr.org
Field Of Study
Linguistic Trends
Embeddings
Task
Language Identification
Native Language Identification
Approach
Deep Learning
Language
Chinese
English
Japanese
French
Arabic
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