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Vector space calculation of semantic surprisal for predicting word pronunciation duration

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Figure

Table 1: Fixed effects of a baseline model includ-ing the data points for which we could calculatesemantic surprisal.
Table 3: Three models of SSemantics as a random ef-fect over the residuals of baseline models learnedfrom the remaining fixed effects
Table 5: Linear mixed effects model for spokenword durations in the AMI corpus, for a model in-cluding both syntactic and semantic surprisal as apredictor as well as a random intercept and slopefor DMARY and SSemantics under speaker.
Table 6: Linear mixed effects models for spoken word durations in the AMI corpus, for native as well asnon-native speakers of English separately

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