Skip navigation
BelSU DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/9168
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGimazitdinov, E. I.-
dc.contributor.authorMorel Morel, D. A.-
dc.date.accessioned2015-04-27T14:37:15Z-
dc.date.available2015-04-27T14:37:15Z-
dc.date.issued2014-
dc.identifier.citationGimazitdinov, E.I. Machine translation technologies used in online translation industry / E.I. Gimazitdinov, D.A. Morel Morel ; Belgorod State University // Experientia est optima magistra : collected arts. / ed. A.A. Kolesnikov, E.A. Ogneva, I.V. Borissovskaya. - Belgorod, 2014. - Vol.III.-P. 41-45.ru
dc.identifier.urihttp://dspace.bsu.edu.ru/handle/123456789/9168-
dc.description.abstractThe article gives an overview of such machine translation technologies as Rule-based Machine Translation, Statistical Machine Translation, Hybrid Machine Translation as well as of Translation Memory. Peculiarities of their implementation in online translators by different specialized IT companies are also consideredru
dc.language.isoenru
dc.subjectlinguisticsru
dc.subjectapplied linguisticsru
dc.subjecttranslationru
dc.subjectmachine translationru
dc.subjecttranslation memoryru
dc.subjectonline translatorsru
dc.titleMachine translation technologies used in online translation industryru
dc.description.refereedyesru
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

Files in This Item:
File Description SizeFormat 
Morel_Machine.pdf74.69 kBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.