Automatic Grammar Correction of Commas in Czech Written Texts: Comparative Study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43965694" target="_blank" >RIV/49777513:23520/22:43965694 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14210/22:00126700
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-16270-1_10" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-16270-1_10</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-16270-1_10" target="_blank" >10.1007/978-3-031-16270-1_10</a>
Alternative languages
Result language
angličtina
Original language name
Automatic Grammar Correction of Commas in Czech Written Texts: Comparative Study
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GA22-27800S" target="_blank" >GA22-27800S: Transformers of multiple modalities for more natural spoken dialog</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Text, Speech, and Dialogue 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings
ISBN
978-3-031-16269-5
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
12
Pages from-to
113-124
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Brno, Czech Republic
Event date
Sep 6, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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