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Fundamentalnaya i Prikladnaya Matematika, 2014, Volume 19, Issue 3, Pages 91–109
(Mi fpm1591)
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This article is cited in 1 scientific paper (total in 1 paper)
A structural pattern based method for automated morphological analysis of word forms in a natural language
E. E. Egorovaa, A. M. Lavrentievb, A. M. Chepovskiya a National Research University "Higher School of Economics", Moscow, Russia
b Université de Lyon, Lyon, France
Abstract:
In this paper, a computerized model for morphological analysis of languages with word-formation based on affixation processes is proposed. The main idea consists in defining structural patterns of words and corresponding lists of suffixes. First, a detailed description of a stemming algorithm, its modification, and the technique of determining grammatical characteristics of word-forms are given. The next part of this work focuses on the application of the proposed algorithms for the French language. Finally, some results of execution of these algorithms are provided.
Citation:
E. E. Egorova, A. M. Lavrentiev, A. M. Chepovskiy, “A structural pattern based method for automated morphological analysis of word forms in a natural language”, Fundam. Prikl. Mat., 19:3 (2014), 91–109; J. Math. Sci., 214:6 (2016), 802–813
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https://www.mathnet.ru/eng/fpm1591 https://www.mathnet.ru/eng/fpm/v19/i3/p91
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Abstract page: | 270 | Full-text PDF : | 189 | References: | 40 |
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