利用spn对自然语言口语病理模式进行建模

Proceedings IEEE International Joint Symposia on Intelligence and Systems Pub Date : 1996-11-04 DOI:10.1109/IJSIS.1996.565050

B. Roy, D. Kavraki, N. Bourbakis

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引用次数: 0

摘要

本文研究了语音自然语言(NL)的建模，以检测精神分裂症的模式。口语NL的建模和分析是基于其形式化表示，通过使用随机Petri网(SPN)和SPN形式的合成来进行适当的解释和检测精神分裂症模式(如果有的话)。

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Modeling pathological patterns of spoken natural language by using SPNs

This paper deals with the modeling of spoken natural language (NL) to detect schizophrenic patterns. The modeling and analysis of the spoken NL is based on its formal representation by using stochastic Petri nets (SPNs) and the synthesis of the SPN forms for the appropriate interpretations and the detection of schizophrenic patterns, if any.

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Proceedings IEEE International Joint Symposia on Intelligence and Systems

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