15. The non-transitory computer-readable storage medium of claim 14 , wherein the operations further comprise: 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.
14. A non-transitory computer-readable storage medium storing instructions that, when executed by a computing system, cause the computing system to perform operations for identifying confidence factors for snippet source languages, the operations comprising: receiving an indication of a snippet, wherein the snippet is a digital representation of words or character groups; receiving an indication of a viewer of the snippet; determining an output language associated with the viewer of the snippet; generating, by one or more machine translation engines, two or more translations of the snippet of the two or more translations each having a specified translation source language and each of the two or more translations being in an output language matching the output language associated with the viewer of the snippet, wherein at least one of the two or more translations of the snippet is generated having a first of 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 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; and 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.