Patent ID: 8898052

Claim:
A system, comprising: a first automatic speech recognition component adapted to recognize a 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 second automatic speech recognition component adapted to receive language in a target language spoken by a human translator, the received language being a translation of the spoken language from the first audible source by the human translator, to recognize the received language in the target language spoken by the human translator translating simultaneous with the spoken language from the first audible source, and to create a target language hypothesis of the language spoken by the human translator using a second language model, wherein the second automatic speech recognition component is a universal speech recognition component adapted to recognize a plurality of spoken languages from the human translator translating simultaneous with the spoken language from the first audible source; a first machine translation component adapted to translate, using a first machine translation model, the source language hypothesis into a target language result; a second machine translation component adapted to translate, using a second machine translation model, the target language hypothesis into a source language result; a first training component adapted to train the first language model using the source language result; a second training component adapted to train the universal speech recognition component using the translation from the source language hypothesis to the target language result; a third training component adapted to train the first machine translation model and the second machine translation model using the source language hypothesis and the target language hypothesis; and wherein the training components perform an iterative translation cycle.