14. A method, comprising: receiving, at an automatic speech recognition component of a statistical speech translation system communicatively connected to at least one other statistical speech translation system, speech input in a source language; providing, by the automatic speech recognition component of the statistical speech translation system, a source language hypothesis; receiving, at a machine translation component of the statistical speech translation system, the source language hypothesis; translating, at the machine translation component of the statistical speech translation system, the source language hypothesis into a target language result; training, at a first training component, a target language model of an automatic speech recognition component of the at least one other statistical speech translation system using the target language result; and training, at a second training component, a source language model of the automatic speech recognition component of the statistical speech translation system using a source language result, the source language result resulting from translation of a target language hypothesis by a machine translation component of the at least one other statistical speech translation system adapted to translate using a second machine translation model, the target language hypothesis created by the automatic speech recognition component of the at least one other statistical speech translation system from spoken language in the target language received from a human translator.
14. A method, comprising: receiving, at an automatic speech recognition component of a statistical speech translation system communicatively connected to at least one other statistical speech translation system, speech input in a source language; providing, by the automatic speech recognition component of the statistical speech translation system, a source language hypothesis; receiving, at a machine translation component of the statistical speech translation system, the source language hypothesis; translating, at the machine translation component of the statistical speech translation system, the source language hypothesis into a target language result; training, at a first training component, a target language model of an automatic speech recognition component of the at least one other statistical speech translation system using the target language result; and training, at a second training component, a source language model of the automatic speech recognition component of the statistical speech translation system using a source language result, the source language result resulting from translation of a target language hypothesis by a machine translation component of the at least one other statistical speech translation system adapted to translate using a second machine translation model, the target language hypothesis created by the automatic speech recognition component of the at least one other statistical speech translation system from spoken language in the target language received from a human translator. 19. The method of claim 14 , wherein the training components perform an iterative translation cycle.