Scholarly record

AUTOMATION OF INFORMATION BASE DEVELOPMENT FOR MULTILINGUAL ADAPTIVE TRAINING TECHNOLOGIES

Alena Stupina, Irina Bagdasaryan, Margarita Karaseva, Olga Almabekova

Abstract

The issue of effective and efficient foreign language teaching is relevant in today’s global world. More and more frequently specialized computer programs for foreign vocabulary training are used. They are not expensive and simple to create and use in comparison with published analogues and not less efficient. The paper considers systemic aspects of information base development for multilingual adaptive training technology, specifically the process of information collection of latent lexical relations and its employment in information terminological basis. The authors offer the system of primary text processing, its algorithms and structure of output data. Creations of computer system aimed at training foreign vocabulary is presented in the consequence of steps, based on the Markov processes theory. Employment of text processing subsystems, created by integration of subsystem of frequency dictionary generation and subsystem of latent vocabulary relations search is a successful solution in building of information technological basis. Using latent lexical relations increases the efficiency of training system of foreign vocabulary in general. The developed structure and algorithm are nor resource consuming, thus making them economical. . The developed structure of output data for preliminary text processing subsystem provides information flexibility and integrity.

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DOI resolver: doi.org/10.5593/SGEMSOCIAL2015/B12/S3.010

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