@inproceedings{b-etal-2022-casteism,
    title = "Casteism in {I}ndia, but Not Racism - a Study of Bias in Word Embeddings of {I}ndian Languages",
    author = "B, Senthil Kumar  and
      Tiwari, Pranav  and
      Kumar, Aman Chandra  and
      Chandrabose, Aravindan",
    editor = "Adebayo, Kolawole  and
      Nanda, Rohan  and
      Verma, Kanishk  and
      Davis, Brian",
    booktitle = "Proceedings of the First Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society within the 13th Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://preview.aclanthology.org/build-pipeline-with-new-library/2022.lateraisse-1.1/",
    pages = "1--7",
    abstract = "In this paper, we studied the gender bias in monolingual word embeddings of two Indian languages Hindi and Tamil. Tamil is one of the classical languages of India from the Dravidian language family. In Indian society and culture, instead of racism, a similar type of discrimination called casteism is against the subgroup of peoples representing lower class or Dalits. The word embeddings measurement to evaluate bias using the WEAT score reveals that the embeddings are biased with gender and casteism which is in line with the common stereotypical human biases."
}