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JOURNALS // Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki // Archive

Kazan. Gos. Univ. Uchen. Zap. Ser. Fiz.-Mat. Nauki, 2008 Volume 150, Book 4, Pages 5–24 (Mi uzku697)

This article is cited in 1 paper

Machine Learning for Natural Language Processing: Contemporary State

X. A. Naidenovaa, O. A. Nevzorovabc

a Medical Force Academy, St. Petersburg
b N. G. Chebotarev Research Institute of Mathematics and Mechanics, Kazan State University
c Tatar State University of Humanities and Education

Abstract: Contemporary methods of machine learning used for natural language processing tasks are discussed in the paper. Various classic tasks of natural language processing are considered, including the tasks of morphological and syntactical analysis. Special attention is given to the methods of machine learning used for construction of ontological models.

Keywords: methods of machine learning, natural language processing, morphology, syntax, semantics, ontology.

UDC: 519.711.2

Received: 27.03.2008



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