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@proceedings{2218759,
author = {Machura, Jakub and Frémund, Adam and Švec, Jan},
booktitle = {25th International Conference on Text, Speech and Dialogue, Brno, 6.-7. 9. 2022},
keywords = {Grammatical error correction; Linguistic rules; Transfer learning},
language = {eng},
title = {Automatic Grammar Correction of Commas in Czech Written Texts : Comparative Study},
url = {https://www.tsdconference.org/tsd2022/tsd_prog.html},
year = {2022}
}
TY - CONF
ID - 2218759
AU - Machura, Jakub - Frémund, Adam - Švec, Jan
PY - 2022
TI - Automatic Grammar Correction of Commas in Czech Written Texts : Comparative Study
KW - Grammatical error correction
KW - Linguistic rules
KW - Transfer learning
UR - https://www.tsdconference.org/tsd2022/tsd_prog.html
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. In \textit{25th International Conference on Text, Speech and Dialogue, Brno, 6.-7. 9. 2022}. 2022.
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