Arabic To Bangla Machine Translation Using Encoder Decoder Approach

Abstract

Machine Translation is one of the sub-fields of computational linguistics which includes broad analytical models enlarged by using extremely advanced semantic knowledge. We have converted the Arabic sentences to its corresponding Bangla equivalent sentences using a Neural Machine Translation (NMT) system operated with fixed vocabulary by using Sequence to Sequence (Seq2Seq) mechanism which is structured approach for automatically transferring the source sequences to the target sequences. From experiments,we have achieved 69.76% accuracy in this discipline.