Language is the core of Information exchange, where world has about 5000 languages in the spoken and written form, also available is infinite documented information written and stored in these languages. It's a present day need in this Information technology era to make available this information to the entire world in their understandable form i.e. in their natural language. Presently machine translation is attempted by many researchers for one to one language translation or for more than one language pair and with this to translate from any to any language requires huge parallel programs and corpus and major issue of huge training and testing period with various complexities like languages in concern exhibit a different structure, not all the words in one language have equivalent words in other languages, different ways in which sentences are put together, words with multiple meanings which results into ambiguity etc. This paper proposes an open frame work for multilingual machine translation with ambiguity resolution.