Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/9671
Title: | Examining gendered bias in AI Translation: A corpus-based study of ChatGPT’s translation of the second sex |
Authors: | Dr. LIU Jianwen, Kacey Yin, Hao |
Issue Date: | 2024 |
Source: | Liu, J., & Yin, H. (2024 Jan 4). Examining gendered bias in AI Translation: A corpus-based study of ChatGPT’s translation of the second sex. International Conference of New Frontiers in Techno-Humanities 2024, Hong Kong. |
Conference: | International Conference of New Frontiers in Techno-Humanities 2024 |
Type: | Conference Paper |
URI: | http://hdl.handle.net/20.500.11861/9671 |
Appears in Collections: | English Language & Literature - Publication |
Find@HKSYU Show full item record
Page view(s)
36
Last Week
0
0
Last month
checked on Nov 21, 2024
Google ScholarTM
Impact Indices
PlumX
Metrics
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.