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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2013, Issue 2, Pages 79–87
(Mi itvs118)
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TEXT MINING
Method and algorithm of detection of linguistic defects in scientific texts
A. V. Shvetsa, Ju. M. Kuznetsovab, G. S. Osipovb, A. V. Latyshevc a LLC "TSA"
b Institute for Systems Analysis of Russian Academy of Sciences
c RosInternet Technologies
Abstract:
We propose the method for automatic identification of signs of linguistic defects in Russian language. The offered method considers semantic, syntactic, morphological and lexical characteristics of elements of text, their context and mutual compatibility. Our experiments demonstrate the applicability of the method for detection of poor grammar and violations of grammatical agreement and government.
Keywords:
semantic analysis, linguistic analysis, violation of grammatical rules, defectiveness of text.
Citation:
A. V. Shvets, Ju. M. Kuznetsova, G. S. Osipov, A. V. Latyshev, “Method and algorithm of detection of linguistic defects in scientific texts”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2013, no. 2, 79–87
Linking options:
https://www.mathnet.ru/eng/itvs118 https://www.mathnet.ru/eng/itvs/y2013/i2/p79
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| Statistics & downloads: |
| Abstract page: | 155 | | Full-text PDF : | 176 | | References: | 2 |
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