A COMPARATIVE ANALYSIS OF GENDER REPRESENTATION IN THE LEXICON OF UZBEK AND GERMAN
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Abstract
This study compares gender representation in the lexicons of Uzbek and German, focusing on grammatical structure, lexical usage, and socio-cultural influences. Despite Uzbek’s lack of grammatical gender and German’s explicit gender marking, both languages exhibit gender bias in professional, social, and familial terms. The analysis also examines how Natural Language Processing (NLP) systems reflect and reinforce these biases. The findings highlight that gender bias is not solely a grammatical phenomenon but is shaped by broader ideological and cultural factors. The study advocates for inclusive language reforms and biasaware AI development.
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