5 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 1 cited
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level
Daniel Deutsch, Juraj Juraska, Mara Finkelstein +1
As research on machine translation moves to translating text beyond the sentence level, it remains unclear how effective automatic evaluation metrics are at scoring longer translat…
cs.CL2023★ 5 cited
The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation
Patrick Fernandes, Daniel Deutsch, Mara Finkelstein +7
Automatic evaluation of machine translation (MT) is a critical tool driving the rapid iterative development of MT systems. While considerable progress has been made on estimating a…