Challenges and Opportunities for NLP in Addressing Gender Bias in Czech Language

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F23%3A73619816" target="_blank" >RIV/61989592:15210/23:73619816 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Challenges and Opportunities for NLP in Addressing Gender Bias in Czech Language

Popis výsledku v původním jazyce

Natural Language Processing (NLP) has become an increasingly important tool for detecting and mitigating gender bias in text data. However, the application of NLP techniques to non-English languages, such as Czech, presents a unique set of challenges and opportunities. This paper explores the challenges and opportunities for NLP in addressing gender bias in the Czech language, including issues such as linguistic complexity, data scarcity, and cultural specificity. Drawing on existing research and case studies, the paper examines the current state of NLP research in the Czech language, and proposes potential solutions for improving the accuracy and effectiveness of gender bias detection and mitigation techniques. The study also considers the broader implications of NLP for promoting gender equality and diversity in language use, and highlights the need for interdisciplinary collaboration and cross-cultural awareness in the development and application of NLP tools. Ultimately, this paper aims to contribute to a more nuanced understanding of the challenges and opportunities of NLP in addressing gender bias in the Czech language, and to promote the development of more effective and inclusive NLP tools and techniques.

Název v anglickém jazyce

Challenges and Opportunities for NLP in Addressing Gender Bias in Czech Language

Popis výsledku anglicky

Natural Language Processing (NLP) has become an increasingly important tool for detecting and mitigating gender bias in text data. However, the application of NLP techniques to non-English languages, such as Czech, presents a unique set of challenges and opportunities. This paper explores the challenges and opportunities for NLP in addressing gender bias in the Czech language, including issues such as linguistic complexity, data scarcity, and cultural specificity. Drawing on existing research and case studies, the paper examines the current state of NLP research in the Czech language, and proposes potential solutions for improving the accuracy and effectiveness of gender bias detection and mitigation techniques. The study also considers the broader implications of NLP for promoting gender equality and diversity in language use, and highlights the need for interdisciplinary collaboration and cross-cultural awareness in the development and application of NLP tools. Ultimately, this paper aims to contribute to a more nuanced understanding of the challenges and opportunities of NLP in addressing gender bias in the Czech language, and to promote the development of more effective and inclusive NLP tools and techniques.

Druh

M - Uspořádání konference

CEP obor

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OECD FORD obor

60203 - Linguistics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Místo konání akce

Bratislava

Stát konání akce

SK - Slovenská republika

Datum zahájení akce

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Datum ukončení akce

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Celkový počet účastníků

15

Počet zahraničních účastníků

15

Typ akce podle státní přísl. účastníků

WRD - Celosvětová akce