Semantic and syntactic model of natural language based on non-negative matrix and tensor factorization

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Abstract

A method for developing a structural model of natural language syntax and semantics is proposed. Factorization of lexical combinability arrays obtained from text corpora generates linguistic databases that are used for analysis of natural language semantics and syntax.

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Anisimov, A., Marchenko, O., Taranukha, V., & Vozniuk, T. (2014). Semantic and syntactic model of natural language based on non-negative matrix and tensor factorization. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8686, 177–184. https://doi.org/10.1007/978-3-319-10888-9_18

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