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词类划分是符号主义认知模式下为满足输入符号的有限性要求而对开放的语义集合所做的有限化改写,它以舍弃语义细节为代价,是一种不完善的语法分析方法。联结主义的语言模型建立在广泛的概念关系网络之上,它承认语义无限状态的合理性,认为意义的价值取决于其所处的外部环境,因而只描述语义和语义间的关系,不切分语义。百科知识网络以描写广泛语义关系为主旨,可以在一定程度上替代部分语法功能,为语法研究摆脱词类划分的困境提供了可能的途径。
Part-of-speech classification is a limited rewriting of the open semantic set to meet the limited requirements of input symbols under the symbolic cognitive model. It is an imperfect method of syntactic analysis at the expense of semantic detail. The connectiveist linguistic model builds on a broad network of conceptual relationships that recognize the plausibility of an infinite state of semantics and hold that the value of meaning depends on the external environment in which it is located and thus describe only the relationship between semantics and semantics, Semantic. Encyclopedic knowledge network to describe a wide range of semantic relations as the main theme, to a certain extent, to replace some of the grammatical functions for grammatical research to get rid of the predicament of the classification provided a possible way.