Nora Aranberri

COMET for Low-Resource Machine Translation Evaluation: A Case Study of English-Maltese and Spanish-Basque

Trainable metrics for machine translation evaluation have been scoring the highest correlations with human judgements in the latest meta-evaluations, outperforming traditional lexical overlap metrics such as BLEU, which is still widely used despite its well-known shortcomings. In this work we look a…