A Hybrid Approach to Example based Machine Translation for Indian Languages

Corpus based approaches to machine translation namely Example based machine translation and Statistical machine translation have received wide focus in the recent years. Hybrid approaches combining the two further improved the performance. Indian language machine translation has mostly focussed on rule based machine translation. We propose a hybrid approach to Example based machine translation making use of statistical machine translation methods and minimal linguistic resources. Our motive in this paper is to obtain a ’good enough’ translation as opposed to a perfect translation aimed by earlier machine translation efforts. Our approach can be used for translation of english to any indian language. In this paper, we perform experiments for translation of english to hindi and report BLEU scores.