Albanian Language Identification in Text Documents
Information Retrieval
2019-01-15 v1 Computation and Language
Abstract
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 " \"E " and " \c{C} " and created a custom training corpus that solved this problem by achieving an accuracy of more than 99%. Based on our experiments, the most performing language identification methods for Albanian use a na\"ive Bayes classifier and n-gram based classification features.
Cite
@article{arxiv.1901.04216,
title = {Albanian Language Identification in Text Documents},
author = {Klesti Hoxha and Artur Baxhaku},
journal= {arXiv preprint arXiv:1901.04216},
year = {2019}
}