14. The system of claim 12 , wherein the valid translation class is represented utilizing a first Gaussian mixture model and the invalid translation class is represented utilizing a second Gaussian mixture model.
12. A system configured to determine consistency of training data including a source language corpus and a target language corpus for a machine translation system, comprising: an extractor that receives a signal indicative of the source language corpus and that manipulates the signal to extract a first textual string from the source language corpus; an aligner that aligns the source language corpus with the target language corpus to identify a second textual string that serves as a translation for the first textual string; and a processor that is a component of a computing device, the processor determining a maximum likelihood estimation score for the translation given the first textual string and classifying the translation as belonging to either a valid translation class or an invalid translation class based upon the maximum likelihood estimation score, the valid translation class being trained utilizing feature vectors of training samples marked as valid translations, and the invalid translation class being trained utilizing feature vectors of training samples marked as invalid translations a calculator that calculates a consistency index based at least in part on a number of products in which the translation appears a frequency of the translation in each of the products, and a total number of valid translations of the textual string in the products.