Identifying gender biasness across urdu language pre - trained models
Material type:
TextPublication details: Islamabad (Unpublished) 2023Description: xiii, 32 p. : ill. ; 30 cm. +CDSubject(s): DDC classification: - 005.1 QAI
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
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Thesis
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Main Campus | 005.1 QAI (Browse shelf(Opens below)) | 1 | Not for loan | 102018 |
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
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