We conjectured that effects of categorization training on identification reflect early stages of the formation of new categories, whereas effects of categorization training on discrimination would appear after longer-term exposure to the new sounds.
An identification task was selected in this study because we hypothesized that effects of categorization training on discrimination would be secondary to (resultant from) the effects of categorization training on identification and may not be observable within 4 training sessions.
The compound interaction ([PostNP PreNP] [PostP PreP]; Fig. 3 c ) was intended to identify the specific effects of categorization training with the unfamiliar NP stimuli, over and beyond the more general effects of categorization training observed with the familiar P sounds.
Specifically, cross-lingual text categorization deals with learning a text categorization model from a set of training documents written in one language (e.g., L1) and then classifying new documents in a different language (e.g., L2).
Although this classification task can be automated using standard machine learning techniques, the categorization of defects for model training requires expert knowledge, which is not always available.
The effect of training on phonemic categorization (PostP PreP) was observed as a reduction in activity in a broad network of posterior temporal, parietal, and frontal regions, bilaterally.
The left frontal regions negatively activated in these correlations may reflect the greater executive demands imposed by nonphonemic categorization posttraining and by phonemic categorization pretraining and not changes in auditory categorization performance per se (similar to the effects of training in frontal cortex discussed earlier).
The current research aimed to assess and train relational framing of categorization in young typically developing children and to assess the impact of training on relevant measures of language and categorization.
When determining the categorization of S. aureus in the training set, the sensitivity was 99.6%, specificity 99.9%, and PPV 99.9%.
In another recent study of auditory categorization training on artificial nonspeech sounds using a video game, Leech et al. (2009) found that the level of activation in this region increased in proportion to the individual improvement in categorization performance.
