The Use of Machine Translation System for Component Development of Adaptive Computer System for Individual Testing of Students’ Knowledge

Autor:	Dina Eliseeva, Alexander Fedosov, Anastasia Karnaukhova
Rok vydání:	2019
Předmět:	Machine translation Computer science Human–computer interaction Component (UML) Learning Management Context (language use) computer.software_genre Adaptation (computer science) Translation (geometry) computer Field (computer science) Contrastive analysis
Zdroj:	Communications in Computer and Information Science ISBN: 9783030378578
DOI:	10.1007/978-3-030-37858-5_40
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::330a312525aaa6c6810629542d5c6f03 https://doi.org/10.1007/978-3-030-37858-5_40 Zobrazit plný text záznamu