From Rule-Based Proofreader Beta Opravidlo To AI Powered
Opravidlo 2.0

J 2025

From Rule-Based Proofreader Beta Opravidlo To AI Powered Opravidlo 2.0

ŽIŽKOVÁ, Hana; Zuzana NEVĚŘILOVÁ; Jakub MACHURA; Aleš HORÁK; Dana HLAVÁČKOVÁ et al.

Základní údaje

Originální název

From Rule-Based Proofreader Beta Opravidlo To AI Powered Opravidlo 2.0

Autoři

ŽIŽKOVÁ, Hana; Zuzana NEVĚŘILOVÁ; Jakub MACHURA; Aleš HORÁK; Dana HLAVÁČKOVÁ a Patrik STANO

Vydání

Jazykovedný časopis, Bratislava, Jazykovedný ústav Ľudovíta Štúra Slovenskej akadémie vied, 2025, 0021-5597

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

60203 Linguistics

Stát vydavatele

Slovensko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Označené pro přenos do RIV

Ano

Organizační jednotka

Filozofická fakulta

DOI

https://doi.org/10.2478/jazcas-2025-0026

EID Scopus

2-s2.0-105025805021

Klíčová slova anglicky

Opravidlo; Proofreader; AI-powered proofreader; Czech language

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 19. 2. 2026 08:49, Mgr. et Mgr. Stanislav Hasil, Ph.D.

Anotace

V originále

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

Návaznosti

OSCARS-01-247, interní kód MU

Název: Oscars - Opravidlo 2.0 – Public Online Proofreading Service

Investor: Evropská unie, Oscars - Opravidlo 2.0 – Public Online Proofreading Service, Výzkumné infrastruktury

Citovat

ŽIŽKOVÁ, Hana; Zuzana NEVĚŘILOVÁ; Jakub MACHURA; Aleš HORÁK; Dana HLAVÁČKOVÁ a Patrik STANO. From Rule-Based Proofreader Beta Opravidlo To AI Powered Opravidlo 2.0. Jazykovedný časopis. Bratislava: Jazykovedný ústav Ľudovíta Štúra Slovenskej akadémie vied, 2025, roč. 76, č. 1, s. 290-299. ISSN 0021-5597. Dostupné z: https://doi.org/10.2478/jazcas-2025-0026.

@article{2526164,
   author = {Žižková, Hana and Nevěřilová, Zuzana and Machura, Jakub and Horák, Aleš and Hlaváčková, Dana and Stano, Patrik},
   article_location = {Bratislava},
   article_number = {1},
   doi = {https://doi.org/10.2478/jazcas-2025-0026},
   keywords = {Opravidlo; Proofreader; AI-powered proofreader; Czech language},
   language = {eng},
   issn = {0021-5597},
   journal = {Jazykovedný časopis},
   title = {From Rule-Based Proofreader Beta Opravidlo To AI Powered Opravidlo 2.0},
   url = {https://www.juls.savba.sk/ediela/jc/2025/1/jc25-01.pdf},
   volume = {76},
   year = {2025}
}

TY  - JOUR
ID  - 2526164
AU  - Žižková, Hana - Nevěřilová, Zuzana - Machura, Jakub - Horák, Aleš - Hlaváčková, Dana - Stano, Patrik
PY  - 2025
TI  - From Rule-Based Proofreader Beta Opravidlo To AI Powered Opravidlo 2.0
JF  - Jazykovedný časopis
VL  - 76
IS  - 1
SP  - 290-299
EP  - 290-299
PB  - Jazykovedný ústav Ľudovíta Štúra Slovenskej akadémie vied
SN  - 00215597
KW  - Opravidlo
KW  - Proofreader
KW  - AI-powered proofreader
KW  - Czech language
UR  - https://www.juls.savba.sk/ediela/jc/2025/1/jc25-01.pdf
N2  - 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
ER  -

ŽIŽKOVÁ, Hana; Zuzana NEVĚŘILOVÁ; Jakub MACHURA; Aleš HORÁK; Dana HLAVÁČKOVÁ a Patrik STANO. From Rule-Based Proofreader Beta Opravidlo To AI Powered Opravidlo 2.0. \textit{Jazykovedný časopis}. Bratislava: Jazykovedný ústav Ľudovíta Štúra Slovenskej akadémie vied, 2025, roč.~76, č.~1, s.~290-299. ISSN~0021-5597. Dostupné z: https://doi.org/10.2478/jazcas-2025-0026.

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