A statistical machine translation system based on the noisy channel model consists of three components: a language model (LM), a translation model (TM), and a decoder. For a system which translates from to English , the LM gives a foreign language a prior probability P and the TM gives a channel translation probability P . These models are automatically trained using monolingual (for the LM) and bilingual (for the TM) corpora.