Machine translation for kindred language

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.