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Ensemble methods using multiple classifiers have proven to be the most successful approach for the task of Native Language Identification (NLI), achieving the current state of the art.
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Robert Tibshirani, Trevor Hastie, Balasubramanian Narasimhan, and Gilbert Chu · 2002
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Ludmila I Kuncheva, Christopher J Whitaker, Catherine A Shipp, and Robert PW Duin · 2003
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Combining Pattern Classifiers: Methods and Algorithms
Ludmila I Kuncheva · 2004
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Ji Zhu and Trevor Hastie · 2004
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Marie-Catherine de Marneffe, Bill Maccartney, and Christopher D. Manning · 2006
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Binod Gyawali, Gabriela Ramirez, and Thamar Solorio · 2013
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Discriminating non-native english with 350 words
John Henderson, Guido Zarrella, Craig Pfeifer, and John D. Burger · 2013
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Feature engineering in the nli shared task 2013: Charles university submission report
Barbora Hladka, Martin Holub, and Vincent Kriz · 2013
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Maximizing classification accuracy in native language identification
Scott Jarvis, Yves Bestgen, and Steve Pepper · 2013
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NLI Shared Task 2013: MQ Submission
Shervin Malmasi, Sze-Meng Jojo Wong, and Mark Dras · 2013
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The story of the characters, the dna and the native language
Marius Popescu and Radu Tudor Ionescu · 2013
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String Kernels for Native Language Identification: Insights from Behind the Curtains
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