MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
Traditionally, Machine Translation (MT) Evaluation has been treated as a regression
problem--producing an absolute translation-quality score. This approach has two limitations …
problem--producing an absolute translation-quality score. This approach has two limitations …
Innovative deep neural network fusion for pairwise translation evaluation
A language independent deep learning (DL) architecture for machine translation (MT)
evaluation is presented. This DL architecture aims at the best choice between two MT (S1 …
evaluation is presented. This DL architecture aims at the best choice between two MT (S1 …
Exploring the Effectiveness of Employing Limited Resources for Deep Neural Pairwise Evaluation of Machine Translation
D Mouratidis, KL Kermanidis - 2021 12th International …, 2021 - ieeexplore.ieee.org
In this paper, a light resource learning schema, ie a schema that depends on limited
resources, is introduced, which aims to choose the better translation between two machine …
resources, is introduced, which aims to choose the better translation between two machine …