Example based English-Bengali machine translation using wordnet

In this paper we propose an architecture of EnglishBengali Example Based Machine Translation (EBMT) using WordNet. The proposed EBMT system has five steps: 1) Tagging 2) Parsing 3) Prepare the chunks of the sentence using sub-sentential EBMT 4) Using an efficient adapting scheme, match the sentence rule 5) Translate from Source Language (English) to Target Language (Bengali) in the chunk and generate with morphological analysis with the help of WordNet. Using the word senses given by the WordNet we can detect the ambiguity and improve the correctness of translation.