Three experiments were conducted to investigate the role of both syntactic (i.e., temporal structure) and semantic (i.e., knowledge of the source events) factors in a two-alternative (target/ nontarget) categorization task involving patterns of nonspeech acoustic transients. The results demonstrated that both factors can play an important role in the classification of such patterns. Although pattern syntax influenced performance in all three experiments, the effects of syntactic structure were clearest in Experiment 1, in which listeners categorized meaningless tonal patterns. Listeners who categorized a syntactically structured target set performed better than did those with an unstructured set. Experiments 2 and 3 were similar to Experiment 1, but listeners classified patterns of familiar, brief-duration, complex sounds rather than tones. When listeners in Experiment 3 were given explicit descriptive information about the pattern components in their instructions, performance actually improved for interpretable, but not for uninterpretable, patterns. This suggests that syntactic and semantic factors interact in an important way to influence performance. It was argued that many complex nonspeech patterns have both syntactic and semantic structure, which is determined by the sequence of source events that produce them. In classifying such patterns, as in the case of speech, listeners rely on their knowledge of these factors as well as on the perceptual information in the sound itself.
[1]
A. Reber,et al.
Implicit learning: An analysis of the form and structure of a body of tacit knowledge
,
1977,
Cognition.
[2]
William D Marslen-Wilson,et al.
Processing interactions and lexical access during word recognition in continuous speech
,
1978,
Cognitive Psychology.
[3]
W. Marslen-Wilson,et al.
The temporal structure of spoken language understanding
,
1980,
Cognition.
[4]
A. Reber.
Transfer of syntactic structure in synthetic languages.
,
1969
.
[5]
R. M. Warren.
Perceptual Restoration of Missing Speech Sounds
,
1970,
Science.
[6]
Marvin Minsky,et al.
A framework for representing knowledge
,
1974
.
[7]
Patrick Henry Winston,et al.
The psychology of computer vision
,
1976,
Pattern Recognit..
[8]
A. Reber.
Implicit learning of synthetic languages: The role of instructional set.
,
1976
.
[9]
James A. Ballas,et al.
Preliminary Research on Perceiving Patterns of Underwater Acoustic Transients
,
1980
.
[10]
Arthur S. Reber,et al.
Analogic and abstraction strategies in synthetic grammar learning: A functionalist interpretation
,
1978,
Cognition.