Papers with interpretation evaluation

1 papers
Barriers to Effective Evaluation of Simultaneous Interpretation (2024.findings-eacl)

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Challenge: Existing studies have relied on out-of-the-box machine translation metrics to evaluate interpretation data, but they do not account for human judgments of interpretation quality.
Approach: They propose to use machine translation metrics to evaluate human interpretations to address potential barriers to disfluency, summarization, paraphrasing and segmentation.
Outcome: The proposed model achieves better correlation with human judgments than state-of-the-art metrics.

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