From Rule-based Proofreader Beta Opravidlo to AI-powered Opravidlo 2.0

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216224:14210/25:00142279

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

From Rule-based Proofreader Beta Opravidlo to AI-powered Opravidlo 2.0

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

From Rule-based Proofreader Beta Opravidlo to AI-powered Opravidlo 2.0

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

60203 - Linguistics

Projekt

—

Návaznosti

—

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Jazykovedný Časopis

ISSN

0021-5597

e-ISSN

1338-4287

Svazek periodika

76

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

10

Strana od-do

290-299

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-105025805021