As the use of Natural Language Processing systems increases, there is a need to address the gender bias in these systems. While research is being done in the English language to quantify and eliminate bias, it is not the same for Indic Languages. Most Indic languages are gendered, i.e., each noun is assigned a gender. Therefore, evaluation differs from what is done in English. In this paper, we evaluate and find occupational bias in Indic languages. We prepare a dataset of gender-neutral occupations and gendered occupation pairs, in Hindi and Marathi

Occupational Gender stereotypes in Indic Languages


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EMNLP 2021

EMNLP 2021 is planned to be a hybrid event in Punta Cana, Dominican Republic, with both on-site and fully virtual participation possible.

Tanvi Anand

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Occupational Gender stereotypes in Indic Languages

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