MACHURA, Jakub, Adam FRÉMUND and Jan ŠVEC. Automatic Grammar Correction of Commas in Czech Written Texts : Comparative Study. In 25th International Conference on Text, Speech and Dialogue, Brno, 6.-7. 9. 2022. 2022.
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Basic information
Original name Automatic Grammar Correction of Commas in Czech Written Texts : Comparative Study
Authors MACHURA, Jakub, Adam FRÉMUND and Jan ŠVEC.
Edition 25th International Conference on Text, Speech and Dialogue, Brno, 6.-7. 9. 2022, 2022.
Other information
Original language English
Type of outcome Presentations at conferences
Field of Study 60203 Linguistics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization unit Faculty of Arts
Keywords (in Czech) Oprava gramatických chyb; lingvistická pravidla; neuronové sítě
Keywords in English Grammatical error correction; Linguistic rules; Transfer learning
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Markéta Ziková, Ph.D., učo 9336. Changed: 8/1/2024 16:09.
Abstract
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.
Links
MUNI/A/1137/2021, interní kód MUName: Lexikon a gramatika češtiny II - 2022
Investor: Masaryk University
PrintDisplayed: 29/7/2024 09:38