Gender bias in Dutch and Turkish word embeddings
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2020-07-01
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en
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Abstract
In this thesis, research is done on the bias of gender in natural
language processing (NLP). This is done speci cally on Dutch and
Turkish instead of English to show if the bias is extended to other
languages. The original paper by Bolukbasi et al. [6] used a corpus
of news articles. In this thesis, Wikipedia is used as a corpus. The
contribution of this research is on nding e ects in languages other
than English, which is limited in the literature. The languages of
choice are Dutch, a language that is close to English, and Turkish, a
language from a di erent language family. The contribution of this
research is to show that gender bias exists in NLP, independent of
the language. It does a ect the size and direction of the bias.
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Faculteit der Sociale Wetenschappen