Example Based Machine Translation (EBMT) is the system which translates sentences from Sindhi to Hindi. It uses the parallel corpus for translating sentences. To handle large volume of data the computational model is required. The requirement for a computational resource in EBMT is significantly less as compared to MT (Machine Translator). This makes development of EBMT systems for Sindhi to Hindi translation feasible, where availability of large-scale computational resources is still scarce. Example based machine translation relies on the database for its translation. The software helps to get a sentential translation according to semantics and syntactic of the language. The frequency of word occurrence is important for translation in EBMT.