Albanian Language Identification in Text Documents

01/14/2019

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by   Klesti Hoxha, et al.

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In this work we investigate the accuracy of standard and state-of-the-art language identification methods in identifying Albanian in written text documents. A dataset consisting of news articles written in Albanian has been constructed for this purpose. We noticed a considerable decrease of accuracy when using test documents that miss the Albanian alphabet letters " Ë " and " Ç " and created a custom training corpus that solved this problem by achieving an accuracy of more than 99 performing language identification methods for Albanian use a naïve Bayes classifier and n-gram based classification features.