HERMAN, Ondřej, Vít SUCHOMEL, Vít BAISA a 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, s. 114-118. ISBN 978-4-87974-716-7. |
Další formáty:
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 a 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, s.~114-118. ISBN~978-4-87974-716-7.
|