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This article is cited in 1 scientific paper (total in 1 paper)
Intellectual analysis of data on the basis of Stanford CoreNLP for pos tagging of texts in the Russian language
O. V. Andreeva, M. B. Bagirov, A. A. Dankina, T. O. Fedorova, M. M. Sheveleva R. E. Alekseev Nizhny Novgorod State Technical University; 24-1 Minin Str.,
Nizhny Novgorod 603000, Russian Federation
Abstract:
The basic principles of Stanford CoreNLP and the
implementation of this library in various natural languages are discussed. Different
ways of Stanford CoreNLP interaction with texts in Russian have been developed.
A model that makes it possible to determine the parts of speech in the
texts in Russian
has been created, the quality of the model's performance on the texts of technical
literature in Russian has been increased. The tests that show
the effectiveness of the implemented changes are presented.
Keywords:
data processing; intellectual data analysis; Stanford CoreNLP; natural language analysis; POS tagger; definition of parts of speech; morphological analysis of texts in the Russian language.
Received: 23.10.2017
Citation:
O. V. Andreeva, M. B. Bagirov, A. A. Dankina, T. O. Fedorova, M. M. Sheveleva, “Intellectual analysis of data on the basis of Stanford CoreNLP for pos tagging of texts in the Russian language”, Sistemy i Sredstva Inform., 28:2 (2018), 145–153
Linking options:
https://www.mathnet.ru/eng/ssi578 https://www.mathnet.ru/eng/ssi/v28/i2/p145
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