Learning Curve with Machine Translation Based on Parallel, Bilingual Corpora

Abstract

Machine Translation is a branch of computer science that automatically handles translation of a text from a source language to a target language. This article summarizes the experience gained during UKSW project, part of which deals with translation of legal phrases between English and Polish. The article describes consecutive steps of the project, i.e. collecting data and creating parallel, bilingual corpora, checking open source ready-made solutions and the novel, effective SMT solution that has been proposed. The final chapter summarizes the solution, together with the results based on BLEU metrics.