A two-level classifier for discriminating similar languages
نویسندگان
چکیده
The BRUniBP team’s submission is presented for the Discriminating between Similar Languages Shared Task 2015. Our method is a two phase classifier that utilizes both character and word-level features. The evaluation shows 100% accuracy on language group identification and 93.66% accuracy on language identification. The main contribution of the paper is a memory-efficient correlation based feature selection method.
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