Detailed Information on Publication Record
2022
Automatic Grammar Correction of Commas in Czech Written Texts : Comparative Study
MACHURA, Jakub, Adam FRÉMUND and Jan ŠVECBasic 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
Language
English
Type of outcome
Prezentace na konferencích
Field of Study
60203 Linguistics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
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
Změněno: 8/1/2024 16:09, doc. Mgr. Markéta Ziková, Ph.D.
Abstract
V originále
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 MU |
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