1. A system for translating a series of source words in a first language to a series of target words in a second language, comprising: input means for inputting the series of source words; a fertility hypothesis generator operatively coupled to said input means for generating at least one fertility hypotheses for a fertility of a source word, based on the source word and a context of the source word; a sense hypothesis generator operatively coupled to said input means for generating sense hypotheses for a translation of the source word, based on the source word and the context of the source word; a fertility model operatively coupled to said fertility hypothesis generator for determining a probability of the fertility of the source word, based on the source word and the context of the source word; a sense model operatively coupled to said sense hypothesis generator for determining a probability of a target word being a correct translation of the source word, based on the source word and the context of the source word; and a decoder operatively coupled to said fertility and sense models for generating a list of target words for the translation of the source word, based on the probability calculated by said fertility model and the probability calculated by said sense model.
7. The system of claim 1, wherein said sense model utilizes an average from a maximum-entropy trigram model for a left context and another maximum-entropy trigram model for a right context.