Geodesic
Machine Learning for Natural Language Processing: Contemporary State
Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Kazanskii Gosudarstvennyi Universitet. Uchenye Zapiski. Seriya Fiziko-Matematichaskie Nauki, Tome 150 (2008) no. 4, pp. 5-24

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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, semantics, ontology.
Mots-clés : syntax 
@article{UZKU_2008_150_4_a0,
     author = {X. A. Naidenova and O. A. Nevzorova},
     title = {Machine {Learning} for {Natural} {Language} {Processing:} {Contemporary} {State}},
     journal = {U\v{c}\"enye zapiski Kazanskogo universiteta. Seri\^a Fiziko-matemati\v{c}eskie nauki},
     pages = {5--24},
     publisher = {mathdoc},
     volume = {150},
     number = {4},
     year = {2008},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/UZKU_2008_150_4_a0/}
}
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X. A. Naidenova; O. A. Nevzorova. Machine Learning for Natural Language Processing: Contemporary State. Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Kazanskii Gosudarstvennyi Universitet. Uchenye Zapiski. Seriya Fiziko-Matematichaskie Nauki, Tome 150 (2008) no. 4, pp. 5-24. http://geodesic.mathdoc.fr/item/UZKU_2008_150_4_a0/