Table 7 shows that, using only non-prosodic features (ASR, SYS, POS), corrections can still be predicted with an accuracy statistically equivalent to our best results.
using the best feature set from Table 7 (Raw+ASR+SYS+POS, DIA = PreTurn), Table 8 shows our results using 25-fold cross-validation.