From Rule-based Proofreader Beta Opravidlo to AI-powered Opravidlo 2.0
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A90244%2F25%3A10513793" target="_blank" >RIV/00216208:90244/25:10513793 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14210/25:00142279
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=2-wEfHti9c" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=2-wEfHti9c</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/jazcas-2025-0026" target="_blank" >10.2478/jazcas-2025-0026</a>
Alternative languages
Result language
angličtina
Original language name
From Rule-based Proofreader Beta Opravidlo to AI-powered Opravidlo 2.0
Original language description
The demand for accurate and error-free written communication in Czech has led to the development of automated proofreading tools. Beta Opravidlo, a rule-based online proofreader launched in 2022, demonstrated high precision and recall in correcting Czech texts. However, its reliance on predefined linguistic rules limited recall and processing speed. With advancements in machine learning and large language models (LLMs), a transition toward AI-powered proofreading became necessary. This article explores the evolution from Beta Opravidlo to Opravidlo 2.0, integrating deep neural networks to enhance correction capabilities. We discuss proofreading as a machine learning task, compare traditional rule-based and neural approaches, and challenges such as explainability, system integration or computational requirements. The most effective solution is a hybrid approach combining rule-based precision with AI-driven adaptability. Opravidlo 2.0 aims to improve recall, optimize inference time, and extend support to other Slavic languages. This interdisciplinary effort highlights the potential of AI-powered proofreading to set new standards in language correction and usability.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
60203 - Linguistics
Result continuities
Project
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Continuities
—
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Jazykovedný Časopis
ISSN
0021-5597
e-ISSN
1338-4287
Volume of the periodical
76
Issue of the periodical within the volume
1
Country of publishing house
SK - SLOVAKIA
Number of pages
10
Pages from-to
290-299
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105025805021