Distilling Text Style Transfer With Self-Explanation From LLMs

no code implementations • 2 Mar 2024 • Chiyu Zhang, Honglong Cai, Yuezhang, Li, Yuexin Wu, Le Hou, Muhammad Abdul-Mageed

Text Style Transfer (TST) seeks to alter the style of text while retaining its core content.

In-Context Learning Knowledge Distillation +2

Data Troubles in Sentence Level Confidence Estimation for Machine Translation

no code implementations • 26 Oct 2020 • Ciprian Chelba, Junpei Zhou, Yuezhang, Li, Hideto Kazawa, Jeff Klingner, Mengmeng Niu

For an English-Spanish translation model operating at $SACC = 0. 89$ according to a non-expert annotator pool we can derive a confidence estimate that labels 0. 5-0. 6 of the $good$ translations in an "in-domain" test set with 0. 95 Precision.

Machine Translation Sentence +1

Practical Perspectives on Quality Estimation for Machine Translation

no code implementations • 2 May 2020 • Junpei Zhou, Ciprian Chelba, Yuezhang, Li

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.

Binary Classification General Classification +4