1. A system, comprising: a first automatic speech recognition component adapted to receive spoken language in a source language from a first audible source and to create a source language hypothesis of the spoken language from the first audible source using a first language model; a first machine translation component adapted to translate, using a first machine translation model, the source language hypothesis into a target language result; a first training component adapted to train the first language model using a source language result, the source language result resulting from translation of a target language hypothesis by a second machine translation component adapted to translate, using a second machine translation model, the target language hypothesis created by a second automatic speech recognition component from spoken language in the target language received from a human translator; a second training component adapted to train the second language model using the target language result; a third training component adapted to train the first machine translation model using the target language hypothesis; and a fourth training component adapted to train the second machine translation model using the source language hypothesis.
3. The system of claim 1 , further comprising a universal speech recognition component adapted to recognize spoken language in any language, and wherein the universal speech recognition component is further adapted to enhance a target language hypothesis that has been created from a monolingual extract of text material in the target language.