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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