6 citations · 30 across the 8 of their papers we have counts for
5 papers · 2 filters
HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation
Serge Gladkoff, Lifeng Han
Traditional automatic evaluation metrics for machine translation have been widely criticized by linguists due to their low accuracy, lack of transparency, focus on language mechani…
Measuring Uncertainty in Translation Quality Evaluation (TQE)
Serge Gladkoff, Irina Sorokina, Lifeng Han +1
From both human translators (HT) and machine translation (MT) researchers' point of view, translation quality evaluation (TQE) is an essential task. Translation service providers (…
cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE
Lifeng Han, Irina Sorokina, Gleb Erofeev +1
Human evaluation has always been expensive while researchers struggle to trust the automatic metrics. To address this, we propose to customise traditional metrics by taking advanta…
Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods
Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton
To facilitate effective translation modeling and translation studies, one of the crucial questions to address is how to assess translation quality. From the perspectives of accurac…
Chinese Character Decomposition for Neural MT with Multi-Word Expressions
Lifeng Han, Gareth J. F. Jones, Alan F. Smeaton +1
Chinese character decomposition has been used as a feature to enhance Machine Translation (MT) models, combining radicals into character and word level models. Recent work has inve…