Other formats:
BibTeX
LaTeX
RIS
@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. p.~111-116, 137 pp. ISBN~978-80-263-0077-9. 2011.
|
