Abstract
The article is devoted to the research of the modern machine translation systems as well as different aspects of their using while development and in the course of functioning of adaptive computer system for individual testing of students’ knowledge. The contrastive analysis of computer-aided translation and automated translation is reported, computer-based translation in its three main modern sorts: based on rules, statistical and hybrid is estimated in the context of technological opportunities of application by both linguistics specialists and in the field of component development of learning management systems.
In the article the approaches to the problem of adaptation of computer system for individual testing of students in preparation of bachelors of engineering degrees are stated. The peculiarities of the use of machine translation systems for training course development, structuring of test material and in the process of realizing of adaptive algorithm for individual testing of students’ educational progress are discussed.
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Fedosov, A., Eliseeva, D., Karnaukhova, A. (2019). The Use of Machine Translation System for Component Development of Adaptive Computer System for Individual Testing of Students’ Knowledge. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O., Musabirov, I. (eds) Digital Transformation and Global Society. DTGS 2019. Communications in Computer and Information Science, vol 1038. Springer, Cham. https://doi.org/10.1007/978-3-030-37858-5_40
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