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• W2250996967 abstract "We apply Support Vector Machines to differentiate between 11 native languages in the 2013 Native Language Identification Shared Task. We expand a set of common language identification features to include cognate interference and spelling mistakes. Our best results are obtained with a classifier which includes both the cognate and the misspelling features, as well as word unigrams, word bigrams, character bigrams, and syntax production rules." @default.
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• W2250996967 date "2013-06-01" @default.
• W2250996967 modified "2023-09-23" @default.
• W2250996967 title "Cognate and Misspelling Features for Natural Language Identification" @default.
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