The Np Structure Sentence Block Mode And Automatic Identification

This paper disertation explores on modeling and automatic recognition of NP in Russian sentences in light of Natural Language Processing(NLP), including linguistic foundation in the course of modeling, modeling of NP, multilevel description of models, modeling of AP with patulous components and automatic recognition of NP. In the process of recognition attention is paid to theoretic precondition of automatic recognition of NP, combinational rules of models, boundary mensuration of NP, automatic recognition of NP with postpositive attributes. Final paper of the disertation mechanism of automatic recognition of NP based on models is demonstrated with a concrete example.Automatic recognition of NP is regarded as an important step of NLP, connecting the automatic morphological analysis with the syntax-semantic analysis. In theory, this paper can show structural and functional attribute of NP, grasp complexity and multiformity of AP with patulous components, and then highlight rules of semantic combination. In practice, by constructing models of NP in Russian sentences and designing recognizable algorithm we can ultimately realize automatic recognition of NP, provide the syntax-semantic analysis of Russian sentences with linguistic guarantee and improve analytic quality of syntactic analyzer.