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A Collection of Pragmatic-Similarity Judgments over Spoken Dialog Utterances
March 25, 2024, 4:46 a.m. | Nigel G. Ward, Divette Marco
cs.CL updates on arXiv.org arxiv.org
Abstract: Automatic measures of similarity between utterances are invaluable for training speech synthesizers, evaluating machine translation, and assessing learner productions. While there exist measures for semantic similarity and prosodic similarity, there are as yet none for pragmatic similarity. To enable the training of such measures, we developed the first collection of human judgments of pragmatic similarity between utterance pairs. Each pair consisting of an utterance extracted from a recorded dialog and a re-enactment of that utterance. …
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