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DC Field | Value | Language |
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dc.contributor.author | Nevmerjitskaia, G. | - |
dc.contributor.author | Roubashko, N. | - |
dc.date.accessioned | 2020-11-12T14:09:21Z | - |
dc.date.available | 2020-11-12T14:09:21Z | - |
dc.date.issued | 2001 | - |
dc.identifier.citation | Nevmerjitskaia, G. Machine translation for kindred language / G. Nevmerjitskaia, N. Roubashko // Информационные сети, системы и технологии = Information Networks, Systems and Technologies : в 3 кн. Кн.1 : Труды международной конференции ICINASTe'2001, Минск, 2-4 октября 2001 г. : на англ. яз. / Ред.: А.Н. Морозевич [и др.]. - Мн. : БГЭУ, 2001. - С. 65-71. | ru_RU |
dc.identifier.isbn | 985-426-692-3 | - |
dc.identifier.uri | http://edoc.bseu.by:8080/handle/edoc/85058 | - |
dc.description.abstract | Automatic translation from one human language to another using computers, better known as machine translation (MT), is a longstanding goal of Computer Science. In order to be able to perform such a task, the computer must “know” the two languages - synonyms for words and phrases, grammars of the two languages, and semantic or world knowledge. One way to incorporate such knowledge into a computer is to use bilingual experts to hand-craft the necessary information into the computer program. Another is to let the computer learn some of these things automatically by examining large amounts of parallel text: documents which are translations of each other. This paper describes the problems of MT for the Byelorussian and Russian languages which are kindred languages and presents a corpus-based approach in order to receive satisfactory solution. | ru_RU |
dc.language | Английский | - |
dc.language.iso | en | ru_RU |
dc.publisher | Белорусский государственный экономический университет | ru_RU |
dc.subject | machine translation | ru_RU |
dc.subject | automatic translation | ru_RU |
dc.subject | машинный перевод | ru_RU |
dc.title | Machine translation for kindred language | ru_RU |
dc.type | Article | ru_RU |
Appears in Collections: | Информационные сети, системы и технологии = Information Networks, Systems and Technologies |
Files in This Item:
File | Description | Size | Format | |
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Nevmerjitskaia_G..pdf | 450.71 kB | Adobe PDF | View/Open |
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