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Semantic and Syntactic Model of Natural Language Based on Non-negative Matrix and Tensor Factorization

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8686))

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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References

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© 2014 Springer International Publishing Switzerland

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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. In: Przepiórkowski, A., Ogrodniczuk, M. (eds) Advances in Natural Language Processing. NLP 2014. Lecture Notes in Computer Science(), vol 8686. Springer, Cham. https://doi.org/10.1007/978-3-319-10888-9_18

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  • DOI: https://doi.org/10.1007/978-3-319-10888-9_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10887-2

  • Online ISBN: 978-3-319-10888-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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