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Table 1.

Stimuli for the baseline and test production blocks.

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Table 2.

Descriptive statistics of subject-level variables.

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Table 3.

Predictors used in Models 1 and 2.

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Table 4.

Model 1 summary.

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Figure 1.

Empirical plots of VOT versus significant predictors in Model 1.

For the utterance-level predictors rate1, rate2, and trial (top row), the line and shading show a linear fit and 95% confidence intervals (CIs) to the empirical data, represented by one point per observation (points omitted in the trial plot for legibility). For the word-level predictors consonant (bottom left) and syllables (bottom right), each point and vertical line show the mean and its 95% CI for VOT over all tokens of one word. The error bars for consonant are 95% CIs on the mean of the word-level means; the curve and shading show a quadratic fit to the word-level means and its 95% CIs, corresponding to the coding of syllables (see text).

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Table 5.

Model 2 summary.

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Figure 2.

Empirical plots of normalized VOT shift versus significant by-subject predictors in Model 2.

Each point and vertical line show the mean and its 95% confidence interval for one subject’s shift across all words. For as (top left), attitude (top right), and o (bottom left), lines and shading show a linear fit and 95% CIs of normalized VOT shift vs. the predictor, across all tokens. For outcome (bottom right), the error bars are 95% CIs on the mean of normalized VOT shift across all tokens.

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Table 6.

Relative importance of predictors in Model 2.

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