Investigating Cross-Linguistic Gender Bias in Hindi-English Across Domains
We study the variations across domains to quantify if domain embeddings allow us some insight into gender bias for this pair of hindi-english model.
We will generate embeddings in four different corpora and compare results by implementing different metrics like with pre-trained stateof the art indic-english translation model, which has performed better at many nlp tasks than existing models.