1. A method of determining consistency of training data for a machine translation system, comprising: receiving a signal indicative of a source language corpus and a target language corpus; extracting a textual string from the source language corpus; aligning the source language corpus with the target language corpus to identify a plurality of translations for the textual string from the target language corpus; utilizing a processor that is a component of a computing device to calculate a consistency index for each of the plurality of translations, the consistency index for each of the plurality of translations being 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; calculating an overall consistency index for the plurality of translations; and storing indications of the consistency indexes and the overall consistency index onto a tangible medium.
10. The method of claim 1 , wherein the products include a number of different software products.