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Information Processing in a Cognitive Model of NLP

机译:NLP认知模型中的信息处理

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A model of the cognitive process of natural language processing has been developed using the formalism of generalized nets. Following this stage-simulating model, the treatment of information inevitably includes phases, which require joint operations in two knowledge spaces – language and semantics. In order to examine and formalize the relations between the language and the semantic levels of treatment, the language is presented as an information system, conceived on the bases of human cognitive resources, semantic primitives, semantic operators and language rules and data. This approach is applied for modeling a specific grammatical rule – the secondary predication in Russian. Grammatical rules of the language space are expressed as operators in the semantic space. Examples from the linguistics domain are treated and several conclusions for the semantics of the modeled rule are made. The results of applying the information system approach to the language turn up to be consistent with the stages of treatment modeled with the generalized net.
机译:自然语言处理的认知过程模型已经使用广义网络的形式主义进行了开发。按照这个阶段模拟模型,信息处理不可避免地包括多个阶段,这些阶段需要在两个知识空间(语言和语义)中进行联合操作。为了检查和规范语言与治疗语义水平之间的关系,将语言作为一个信息系统提出,它是基于人类认知资源,语义原语,语义运算符以及语言规则和数据而构想的。这种方法适用于建模特定的语法规则-俄语中的次要谓词。语言空间的语法规则在语义空间中表示为运算符。处理了来自语言学领域的示例,并对建模规则的语义得出了一些结论。将信息系统方法应用于语言的结果与广义网络建模的治疗阶段相一致。

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