Identifying gender biasness across urdu language pre - trained models

By: Material type: TextTextPublication details: Islamabad (Unpublished) 2023Description: xiii, 32 p. : ill. ; 30 cm. +CDSubject(s): DDC classification:
  • 005.1 QAI
Dissertation note: Thesis (M.S.)--Riphah International University, 2023
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Thesis Thesis 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

There are no comments on this title.

to post a comment.
Copyright © 2026 Riphah International University | System Administrator