1. A method for identifying a most likely source language of a snippet, comprising: receiving an indication of the snippet, wherein the snippet is a digital representation of words or character groups; determining two or more possible source languages for the snippet; generating, by one or more machine translation engines, two or more translations of the snippet each having a specified translation source language, wherein at least one of the two or more translations of the snippet is generated having a first of the two or more possible source languages for the snippet set as the specified translation source language, and wherein at least another of the two or more translations of the snippet is generated having a second of the two or more possible source languages for the snippet other than the first of the two or more possible source languages for the snippet set as the specified translation source language; computing, by one or more translation score models trained using or more neural networks, accuracy scores for at least two of the generated two or more translations of the snippet; producing a confidence factor for each of at least two selected possible source languages for the snippet, wherein the confidence factor for each selected possible source language is produced based on one or more of the computed accuracy scores that has a source language corresponding to the selected possible source language; and selecting, as the most likely source language, the possible source language for the snippet that is associated with a highest confidence factor.
5. The method of claim 1 further comprising: performing an initial source language identification for the snippet; wherein the initial source language identification for the snippet identifies one or more of the possible source languages each with a corresponding initial confidence value; and wherein each initial confidence value indicates, for a corresponding possible source language, a confidence that the corresponding possible source language is a language of the snippet.