| HERMAN, Ondřej, Vít SUCHOMEL, Vít BAISA and Pavel RYCHLÝ. DSL Shared task 2016: Perfect Is The Enemy of Good Language Discrimination Through Expectation-Maximization and Chunk-based Language Model. Online. In Preslav Nakov, Marcos Zampieri, Liling Tan, Nikola Ljubešić, Jörg Tiedemann, Shervin Malmasi. Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial3). Osaka: Association for Natural Language Processing (ANLP), Osaka, Japan, 2016, p. 114-118. ISBN 978-4-87974-716-7. |
Other formats:
BibTeX
LaTeX
RIS
@inproceedings{1366107,
author = {Herman, Ondřej and Suchomel, Vít and Baisa, Vít and Rychlý, Pavel},
address = {Osaka},
booktitle = {Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial3)},
editor = {Preslav Nakov, Marcos Zampieri, Liling Tan, Nikola Ljubešić, Jörg Tiedemann, Shervin Malmasi},
keywords = {language discrimination;expectation maximization;language model},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Osaka},
isbn = {978-4-87974-716-7},
pages = {114-118},
publisher = {Association for Natural Language Processing (ANLP), Osaka, Japan},
title = {DSL Shared task 2016: Perfect Is The Enemy of Good Language Discrimination Through Expectation-Maximization and Chunk-based Language Model},
url = {https://aclanthology.info/pdf/W/W16/W16-4815.pdf},
year = {2016}
}
TY - JOUR
ID - 1366107
AU - Herman, Ondřej - Suchomel, Vít - Baisa, Vít - Rychlý, Pavel
PY - 2016
TI - DSL Shared task 2016: Perfect Is The Enemy of Good Language Discrimination Through Expectation-Maximization and Chunk-based Language Model
PB - Association for Natural Language Processing (ANLP), Osaka, Japan
CY - Osaka
SN - 9784879747167
KW - language discrimination;expectation maximization;language model
UR - https://aclanthology.info/pdf/W/W16/W16-4815.pdf
N2 - In this paper we investigate two approaches to discrimination of similar languages: Expectation--maximization algorithm for estimating conditional probability P(word|language) and byte level language models similar to compression-based language modelling methods. The accuracy of these methods reached respectively 86.6 % and 88.3 % on set A of the DSL Shared task 2016 competition.
ER -
HERMAN, Ondřej, Vít SUCHOMEL, Vít BAISA and Pavel RYCHLÝ. DSL Shared task 2016: Perfect Is The Enemy of Good Language Discrimination Through Expectation-Maximization and Chunk-based Language Model. Online. In Preslav Nakov, Marcos Zampieri, Liling Tan, Nikola Ljubeši\'c, Jörg Tiedemann, Shervin Malmasi. \textit{Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial3)}. Osaka: Association for Natural Language Processing (ANLP), Osaka, Japan, 2016, p.~114-118. ISBN~978-4-87974-716-7.
|
