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

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Challenges and Opportunities for NLP in Addressing Gender Bias in Czech Language
Original language description
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.
Czech name
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Czech description
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Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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