Perturbation-based QE: An Explainable, Unsupervised Word-level Quality Estimation Method for Blackbox Machine Translation

12 May 2023

Papers citing "Perturbation-based QE: An Explainable, Unsupervised Word-level Quality Estimation Method for Blackbox Machine Translation"

4 / 4 papers shown

Title
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study Beatrice Savoldi Sara Papi Matteo Negri Ana Guerberof L. Bentivogli 43 6 0 01 Oct 2024
Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation Javad Pourmostafa Roshan Sharami D. Shterionov Pieter Spronck 26 0 0 12 Jun 2024
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task Ricardo Rei Marcos Vinícius Treviso Nuno M. Guerreiro Chrysoula Zerva Ana C. Farinha ... T. Glushkova Duarte M. Alves A. Lavie Luísa Coheur André F. T. Martins 60 138 0 13 Sep 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015