Fig 1.
Depiction of the word frisbee according to Node Structure Theory.
Adapted from Fig 1 in [17]. A simplified depiction of the network connections for the word frisbee, including higher-level sentential connections and lower-level phonological connections.
Fig 2.
Speech-to-Song ratings of dense and sparse word-lists dependent on repetition condition.
Ratings were made on a scale from 1 (sounds like speech) to 5 (sounds like song) for dense and sparse word-lists in three repetition conditions (no repetition, repetition with pauses, and repetition without pauses). Mean ratings for each condition are listed above each column, with whiskers representing standard error of the mean.
Fig 3.
Speech-to-Song ratings of low and high phonotactic probability word-lists dependent on repetition condition.
Ratings were made on a scale from 1 (sounds like speech) to 5 (sounds like song) for low and high phonotactic probability word-lists with and without repetition. Mean ratings for each condition are listed above each column, with whiskers representing standard error of the mean.
Table 1.
Mean and standard deviations of Speech-to-Song ratings for each word-list length.
Fig 4.
Plot of Speech-to-Song ratings dependent on the number of words per list.
Spaghetti plot highlights the quadratic effect of the number of words on Speech-to-Song ratings for each participant. Blue lines represent each individual’s trajectory with the black line representing the average of all individuals.
Fig 5.
Plot of Speech-to-Song ratings dependent on the number of syllables per list.
Spaghetti plot highlights the linear effect of the number of syllables on Speech-to-Song ratings for each participant. Blue lines represent each individual’s trajectory with the black line representing the average of all individuals.