Informatics and Applications
2024, Volume 18, Issue 3, pp 97-105
A MODEL FOR EXTRACTING KNOWLEDGE FROM PARALLEL TEXTS OF A LEXICOGRAPHIC INFORMATION SYSTEM
- D. O. Dobrovol’skij
- I. M. Zatsman
Abstract
The problem-oriented model of extracting linguistic knowledge from parallel texts is considered to be
a key theoretical component for creating a lexicographic information system that provides integration of electronic
bilingual dictionaries and parallel corpora. The proposed approach to solving the integration problem takes into
account the emergence of new meanings of words and phrasemes which is due to the acquisition of new knowledge
by experts who discover these meanings as a result of semantic analysis of regularly updated corpus data. The
proposed model describes the human–computer interaction including the search for fragments of parallel texts
as potential sources of new linguistic knowledge, its extracting by experts from texts, and representation in the
lexicographic information system. The basis for building the problem-oriented model is the spiral model of
knowledge generation which was proposed by Ikujiro Nonaka in 1991. The purpose of the paper is to describe
the stages of building the model for discovering linguistic knowledge used in the lexicographic information system
design.
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[+] About this article
Title
A MODEL FOR EXTRACTING KNOWLEDGE FROM PARALLEL TEXTS OF A LEXICOGRAPHIC INFORMATION SYSTEM
Journal
Informatics and Applications
2024, Volume 18, Issue 3, pp 97-105
Cover Date
2024-09-20
DOI
10.14357/19922264240312
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
lexicographic information system; parallel texts; spiral model of knowledge generation; problem-oriented model
Authors
D. O. Dobrovol’skij  ,  ,  and I. M. Zatsman
Author Affiliations
Vinogradov Russian Language Institute of the Russian Academy of Sciences, 18/2 Volkhonka Str., Moscow 119019, Russian Federation
Institute of Linguistics of the Russian Academy of Sciences, 1-1 Bolshoy Kislovsky Lane, Moscow 125009, Russian Federation
Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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