00851nam a22001937a 4500 0 0 0 0 RIU RIU 2023-09-09 0 005.1 QAI 102018 2023-09-09 00:00:00 1 2023-09-09 TH 53240 53240 Riphah International University 005.1 QAI Qaisar Aziz (20047) Identifying gender biasness across urdu language pre - trained models Islamabad (Unpublished) 2023 xiii, 32 p. : ill. ; 30 cm. +CD Submitted in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering to the Faculty of Computing. Includes bibliographical references. Thesis supervisor: Dr. Adeel Zafar Thesis (M.S.)--Riphah International University, 2023 English Roberta urdu small mdel Precentile predictions outcomes Models probability score Software Engineering FC TH