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Título : | Machine translation for kindred language |
Autor : | Nevmerjitskaia, G. Roubashko, N. |
Palabras clave : | machine translation;automatic translation;машинный перевод |
Fecha de publicación : | 2001 |
Editorial : | Белорусский государственный экономический университет |
Language: | Английский |
Type: | Article |
Citación : | 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. |
Resumen : | 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. |
URI : | http://edoc.bseu.by:8080/handle/edoc/85058 |
ISBN : | 985-426-692-3 |
Aparece en las colecciones: | Информационные сети, системы и технологии = Information Networks, Systems and Technologies |
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