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Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology
May 13, 2024, 4:46 a.m. | Rishav Hada, Safiya Husain, Varun Gumma, Harshita Diddee, Aditya Yadavalli, Agrima Seth, Nidhi Kulkarni, Ujwal Gadiraju, Aditya Vashistha, Vivek Sesha
cs.CL updates on arXiv.org arxiv.org
Abstract: Existing research in measuring and mitigating gender bias predominantly centers on English, overlooking the intricate challenges posed by non-English languages and the Global South. This paper presents the first comprehensive study delving into the nuanced landscape of gender bias in Hindi, the third most spoken language globally. Our study employs diverse mining techniques, computational models, field studies and sheds light on the limitations of current methodologies. Given the challenges faced with mining gender biased statements …
abstract arxiv bias challenges cs.cl english exploratory gender gender bias global hindi landscape language languages measuring paper research study technology type
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