Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-06-74-36
DOI: https://dx.doi.org/10.15863/TAS.2019.06.74.36
Language: Russian
Citation: Kozhevnikov, V. A., & Oborin, P. A. (2019). Development of the automated student testing system using Python and NLP methods. ISJ Theoretical & Applied Science, 06 (74), 301-306. Soi: http://s-o-i.org/1.1/TAS-06-74-36 Doi: https://dx.doi.org/10.15863/TAS.2019.06.74.36 |
Pages: 301-306
Published: 30.06.2019
Abstract: This article is devoted to the development and analysis of models for automatic assessment of students' short open answers to questions in Russian. The possible structure of a web service that can integrate such models into itself has been designed. On the basis of the structure, the application in the Python language is implemented, possible ways of improvement are given, and testing is carried out on students' answers.
Key words: natural language processing, automated evaluation, short responses, web-service development.
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