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cs.CL2024
Distilling Text Style Transfer With Self-Explanation From LLMs
Chiyu Zhang, Honglong Cai, Yuezhang +4
Text Style Transfer (TST) seeks to alter the style of text while retaining its core content. Given the constraints of limited parallel datasets for TST, we propose CoTeX, a framewo…
cs.CL2020★ 2 cited
Data Troubles in Sentence Level Confidence Estimation for Machine Translation
Ciprian Chelba, Junpei Zhou, Yuezhang +4
The paper investigates the feasibility of confidence estimation for neural machine translation models operating at the high end of the performance spectrum. As a side product of th…
cs.CL2020★ 4 cited
Practical Perspectives on Quality Estimation for Machine Translation
Junpei Zhou, Ciprian Chelba, Yuezhang +1
Sentence level quality estimation (QE) for machine translation (MT) attempts to predict the translation edit rate (TER) cost of post-editing work required to correct MT output. We…