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.
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. 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.