Gender bias in natural language processing 

    Basta, Christine Raouf Saad (Date of defense: 2022-10-14)

    (English) Gender bias is a dangerous form of social bias impacting an essential group of people. The effect of gender bias is propagated to our data, causing the accuracy of the predictions in models to be different depending ...

    Grapheme-to-phoneme conversion in the era of globalization 

    Polyàkova, Tatyana V. (Date of defense: 2015-03-13)

    This thesis focuses on the phonetic transcription in the framework of text-to-speech conversion, especially on improving adaptability, reliability and multilingual support in the phonetic module. The language is constantly ...