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@inproceedings{959063, author = {Materna, Jiří and Hreško, Juraj}, address = {Brno, Czech Republic}, booktitle = {Recent Advances in Slavonic Natural Language Processing}, editor = {Aleš Horák, Pavel Rychlý}, keywords = {language identification; query language; information retrieval}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Brno, Czech Republic}, isbn = {978-80-263-0077-9}, pages = {111-116}, publisher = {Tribun EU}, title = {A Bayesian Approach to Query Language Identification}, url = {https://nlp.fi.muni.cz/raslan/2011/paper10.pdf}, year = {2011} }
TY - JOUR ID - 959063 AU - Materna, Jiří - Hreško, Juraj PY - 2011 TI - A Bayesian Approach to Query Language Identification PB - Tribun EU CY - Brno, Czech Republic SN - 9788026300779 KW - language identification KW - query language KW - information retrieval UR - https://nlp.fi.muni.cz/raslan/2011/paper10.pdf N2 - In this paper we present a Bayesian approach to language identification of queries sent to an information retrieval system. The aim of the work is to identify both the language of a query as a whole and the language of particular words in the query. The method is evaluated on a test set of manually labelled queries. The evaluation shows that our method performs better than the Google Language Detect API and an implementation of the n-gram method on our testing set of queries. ER -
MATERNA, Jiří and Juraj HREŠKO. A Bayesian Approach to Query Language Identification. In Aleš Horák, Pavel Rychlý. \textit{Recent Advances in Slavonic Natural Language Processing}. Brno, Czech Republic: Tribun EU, 2011, p.~111-116, 137 pp. ISBN~978-80-263-0077-9.
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