A Structural Pattern Based Method for Automated Morphological Analysis of Word Forms in a Natural Language
- Авторлар: Egorova E.1, Lavrentiev A.2, Chepovskiy A.1
-
Мекемелер:
- Higher School of Economics National Research University
- ICAR Research Lab — CNRS, Université de Lyon, ASLAN Labex
- Шығарылым: Том 214, № 6 (2016)
- Беттер: 802-813
- Бөлім: Article
- URL: https://journals.rcsi.science/1072-3374/article/view/237510
- DOI: https://doi.org/10.1007/s10958-016-2813-2
- ID: 237510
Дәйексөз келтіру
Аннотация
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.
Негізгі сөздер
Авторлар туралы
E. Egorova
Higher School of Economics National Research University
Email: achepovskiy@hse.ru
Ресей, Moscow
A. Lavrentiev
ICAR Research Lab — CNRS, Université de Lyon, ASLAN Labex
Email: achepovskiy@hse.ru
Франция, Lyon
A. Chepovskiy
Higher School of Economics National Research University
Хат алмасуға жауапты Автор.
Email: achepovskiy@hse.ru
Ресей, Moscow