| MACHURA, Jakub, Adam FRÉMUND a Jan ŠVEC. Automatic Grammar Correction of Commas in Czech Written Texts : Comparative Study. Online. In Sojka, Petr; Horák, Aleš; Kopeček, Ivan; Pala, Karel. Text, Speech, and Dialogue : 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings. Cham (CH): Springer, 2022, s. 113-124. ISBN 978-3-031-16269-5. Dostupné z: https://dx.doi.org/10.1007/978-3-031-16270-1_10. |
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@inproceedings{2218767,
author = {Machura, Jakub and Frémund, Adam and Švec, Jan},
address = {Cham (CH)},
booktitle = {Text, Speech, and Dialogue : 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings},
doi = {http://dx.doi.org/10.1007/978-3-031-16270-1_10},
editor = {Sojka, Petr; Horák, Aleš; Kopeček, Ivan; Pala, Karel},
keywords = {Grammatical error correction; Linguistic rules; Transfer learning},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Cham (CH)},
isbn = {978-3-031-16269-5},
pages = {113-124},
publisher = {Springer},
title = {Automatic Grammar Correction of Commas in Czech Written Texts : Comparative Study},
url = {https://doi.org/10.1007/978-3-031-16270-1_10},
year = {2022}
}
TY - JOUR
ID - 2218767
AU - Machura, Jakub - Frémund, Adam - Švec, Jan
PY - 2022
TI - Automatic Grammar Correction of Commas in Czech Written Texts : Comparative Study
PB - Springer
CY - Cham (CH)
SN - 9783031162695
KW - Grammatical error correction
KW - Linguistic rules
KW - Transfer learning
UR - https://doi.org/10.1007/978-3-031-16270-1_10
N2 - The task of grammatical error correction is a widely studied field of natural language processing where the traditional rule-based approaches compete with the machine learning methods. The rule-based approach benefits mainly from a wide knowledge base available for a given language. On the contrary, the transfer learning methods and especially the use of pre-trained Transformers have the ability to be trained from a huge number of texts in a given language. In this paper, we focus on the task of automatic correction of missing commas in Czech written texts and we compare the rule-based approach with the Transformer-based model trained for this task.
ER -
MACHURA, Jakub, Adam FRÉMUND a Jan ŠVEC. Automatic Grammar Correction of Commas in Czech Written Texts : Comparative Study. Online. In Sojka, Petr; Horák, Aleš; Kopeček, Ivan; Pala, Karel. \textit{Text, Speech, and Dialogue : 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings}. Cham (CH): Springer, 2022, s.~113-124. ISBN~978-3-031-16269-5. Dostupné z: https://dx.doi.org/10.1007/978-3-031-16270-1\_{}10.
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