Journal of Mathematical Sciences

, Volume 214, Issue 6, pp 802–813 | Cite as

A Structural Pattern Based Method for Automated Morphological Analysis of Word Forms in a Natural Language



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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    A. Bolkovitianov and A. Chepovskiy, The Morphological Analysis Algorithms of Computer Linguistics [in Russian], I. Fedorov MSUPA, Moscow (2013).Google Scholar
  2. 2.
    J. DuBois and R. Lagane, Livres de bord: Grammaire, Larousse (2010).Google Scholar
  3. 3.
    E. Egorova and A. Chepovskiy, “Morphological approach to analyzing and indexing texts, the case of Indo-European languages,” in: Proc. CPT2013, 12–19 May 2013, Larnaca, Cyprus, Izd. IFTI, Moscow; Protvino (2013), pp. 154–159.Google Scholar
  4. 4.
    M. Grevisse and A. Goosse, Le bon usage, Duculot, Paris (2011).Google Scholar
  5. 5.
    H. Huot, La morphologie: forme et sens des mots du français, Armand Colin (2006).Google Scholar
  6. 6.
    N. A. Katagoshchina, How Words in French Are Formed [in Russian], URSS; KomKniga, Moscow (2006).Google Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Higher School of Economics National Research UniversityMoscowRussia
  2. 2.ICAR Research Lab — CNRS, Université de Lyon, ASLAN LabexLyonFrance

Personalised recommendations