Machine prejudice is increasingly becoming a cause for concern. Despite  translations becoming more natural and fluid with advancements in neural machine translation (NMT), they still reflect societal biases and stereotypes. Gender bias also surfaces when working with languages that use gender-specific terminology. For example, Google Translate has historically translated the Turkish phrase “He/she is a…

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