| SUCHOMEL, Vít. Discriminating Between Similar Languages Using Large Web Corpora. In Horák, Aleš and Rychlý, Pavel and Rambousek, Adam. Proceedings of the Thirteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2019. Brno: Tribun EU, 2019, s. 129-135. ISBN 978-80-263-1530-8. |
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@inproceedings{1591222,
author = {Suchomel, Vít},
address = {Brno},
booktitle = {Proceedings of the Thirteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2019},
editor = {Horák, Aleš and Rychlý, Pavel and Rambousek, Adam},
keywords = {language identification; discriminating similar languages; building web corpora},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-1530-8},
pages = {129-135},
publisher = {Tribun EU},
title = {Discriminating Between Similar Languages Using Large Web Corpora},
url = {https://nlp.fi.muni.cz/raslan/2019/paper12-suchomel.pdf},
year = {2019}
}
TY - JOUR
ID - 1591222
AU - Suchomel, Vít
PY - 2019
TI - Discriminating Between Similar Languages Using Large Web Corpora
PB - Tribun EU
CY - Brno
SN - 9788026315308
KW - language identification
KW - discriminating similar languages
KW - building web corpora
UR - https://nlp.fi.muni.cz/raslan/2019/paper12-suchomel.pdf
N2 - This paper presents a method for discriminating similar lan-guages based on wordlists from large web corpora. The main benefits ofthe approach are language independency, a measure of confidence of theclassification and an easy-to-maintain implementation.The method is evaluated on VarDial 2014 workshop data set. The resultaccuracy is comparable to other methods successfully performing at theworkshop.A tool implementing the method in Python can be obtained from web sitehttp://corpus.tools/.
ER -
SUCHOMEL, Vít. Discriminating Between Similar Languages Using Large Web Corpora. In Horák, Aleš and Rychlý, Pavel and Rambousek, Adam. \textit{Proceedings of the Thirteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2019}. Brno: Tribun EU, 2019, s.~129-135. ISBN~978-80-263-1530-8.
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