2. The computerized system of claim 1 , wherein the phrasal decoder is configured to determine the learned mappings by applying a word alignment algorithm.
1. A computerized system for performing statistical machine translation, the system comprising: a statistical machine translation engine executed on a user computing device, the statistical machine translation engine trained on a bilingual parallel corpus including source language documents and a corresponding target human translation of the source language documents, and configured to receive a translation input and to produce a raw machine translation output, at run-time; a phrasal decoder, separate and distinct from the statistical machine translation engine, executed on the user computing device, the phrasal decoder being trained prior to run-time on a monolingual parallel corpus, the monolingual parallel corpus including a machine translation output of the source language documents of the bilingual parallel corpus and the corresponding target human translation output of the source language documents of the bilingual parallel corpus, to thereby learn mappings and build a phrase table by establishing phrase pairs between the machine translation output and the target human translation output, wherein the machine translation output is unedited by human translators, and wherein the phrasal decoder is trained prior to run-time on a developer computing device on which the bilingual parallel corpus is stored, assigning to each phrase pair a statistical score representing a utility of each phrase pair; and wherein at run-time on the user computing device the phrasal decoder is configured to process the raw machine translation output, and to produce a corrected translation output based on the learned mappings and the phrase table, programmatically correcting the raw machine translation output if a statistical score for correspondence of the phrase pair is above a predetermined threshold.