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Perturbation-based QE: An Explainable, Unsupervised Word-level Quality
  Estimation Method for Blackbox Machine Translation
v1v2 (latest)

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

Machine Translation Summit (MT Summit), 2023
12 May 2023
Tu Anh Dinh
Jan Niehues
ArXiv (abs)PDFHTML

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

3 / 3 papers shown
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine
  Translation with a Human-centered Study
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered StudyConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Beatrice Savoldi
Sara Papi
Matteo Negri
Ana Guerberof
L. Bentivogli
391
16
0
01 Oct 2024
Guiding In-Context Learning of LLMs through Quality Estimation for
  Machine Translation
Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation
Javad Pourmostafa Roshan Sharami
D. Shterionov
Pieter Spronck
251
0
0
12 Jun 2024
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
20,065
0
16 Feb 2016
1
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