MACHINE TRANSLATION USING SCARCE BILINGUAL CORPORA

Abstract

We propose a method for automatic extraction of translation rules suitable for a rule-based machine translation system by using a target language syntactic parser and scarce bilingual resources as linguistic knowledge sources. We propose an algorithm that assembles translation rules in order to translate an input sentence.

Keywords

• machine translation
• parellel corpora analysis
• rule extracion