We attempt an entirely different approach; we use cheap and plentiful monolingual resources to induce an end-toend statistical machine translation system.
we extend the long line of work on inducing translation lexicons (beginning with Rapp (1995)) and propose to use multiple independent cues present in monolingual texts to estimate lexical and phrasal translation probabilities for large, MT-scale phrase-tables.