3. The method of claim 2 further comprising: selecting one of the plurality of child class sets; identifying a total amount of words included in the plurality of suggested translations that each correspond to the selected child class set; identifying a total amount of accepted words included in the set of accepted translations that each correspond to the selected child class set; and computing the child class leverage value of the selected child class set using the identified total amount of words and the total amount of accepted words.
2. The method of claim 1 wherein the plurality of suggested translations correspond to a plurality of child class sets, the method further comprising: computing a child class set linguistic noise value for each of the plurality of child class sets using a corresponding child class leverage value and a child class factor value, resulting in a plurality of child class set linguistic noise values; combining the plurality of child class set linguistic noise values, resulting in a translation supply chain linguistic noise value; and utilizing the translation supply chain linguistic noise value during the performance efficiency determination of the language translation supply chain.