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dc.contributor.author | Safiullina G. | |
dc.contributor.author | Davitova N. | |
dc.contributor.author | Lelakova E. | |
dc.date.accessioned | 2020-01-15T22:10:34Z | |
dc.date.available | 2020-01-15T22:10:34Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/156871 | |
dc.description.abstract | © BEIESP. Our article deals with such an aspect of computational linguistics as the construction of lexical minima cases using the Sketch Engine program as an example. The advent of computational linguistics has played an important role in the process of learning foreign languages. Thanks to computer technology, the process of learning foreign languages is greatly simplified and becomes more accessible. Among the many programs for learning foreign languages, we chose the Sketch Engine program, since it is a case manager and a tool for analyzing linguistic buildings, that is, collections of texts selected and processed according to certain rules, which are used as the basis for language research. This resource is software that combines a specialized search engine and a lot of buildings in different languages. We describe the program through the prism of corpus linguistics, consider the functions and capabilities of this program Sketch Engine in drawing up the lexical minimum for primary school age in English, Russian and German. In this paper, we conducted an experiment on drawing up a lexical minimum for schoolchildren, which consisted in selecting 300 most used words of the English language and saturating them with examples from the cases of the Sketch Engine program. | |
dc.subject | Children | |
dc.subject | Corpus | |
dc.subject | Dictionary | |
dc.subject | Lexical | |
dc.subject | Minimum | |
dc.subject | Sketch engine | |
dc.title | Sketch engine in building a lexical minimum for children | |
dc.type | Article | |
dc.relation.ispartofseries-issue | 1 | |
dc.relation.ispartofseries-volume | 9 | |
dc.collection | Публикации сотрудников КФУ | |
dc.relation.startpage | 5105 | |
dc.source.id | SCOPUS-2019-9-1-SID85075216257 |