Development of a Semantic and Syntactic Model of Natural Language by Means of Non-negative Matrix and Tensor Factorization [chapter]

Anatoly Anisimov, Oleksandr Marchenko, Volodymyr Taranukha, Taras Vozniuk
2014 Lecture Notes in Computer Science  
A method for developing a structural model of natural language syntax and semantics is proposed. Syntactic and semantic relations between parts of a sentence are presented in the form of a recursive structure called a control space. Numerical characteristics of these data are stored in multidimensional arrays. After factorization, the arrays serve as the basis for the development of procedures for analyses of natural language semantics and syntax.
doi:10.1007/978-3-319-10816-2_40 fatcat:5l4jhpmyyfgixmtntj6htpj3e4