Papers by Ana Lúcia Santos

1 papers
Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort (2021.acl-long)

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Challenge: Existing methods to evaluate multiple systems are expensive and require human evaluators.
Approach: They propose a novel online learning approach that dynamically converges to the top-3 ranked systems for the language pairs considered by taking advantage of human feedback.
Outcome: The proposed approach converges to the top-3 ranked systems for the language pairs considered despite the lack of human feedback for many translations.

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