1. A method comprising: selecting background data with a background data sample selection bias that is substantially equivalent to an occurrence data sample selection bias of occurrence data such that the background data and the occurrence data have the same environmental bias; randomly selecting sentences in a source language to obtain the background data; sampling sentences in the source language that contain a predetermined word to obtain the occurrence data; and determining an unbiased estimate of a distribution utilized for language translation and speech interpretation from the occurrence data by utilizing a special purpose processor, wherein the occurrence data is related to the background data, and wherein the occurrence data represents a physically-measurable variable of at least one physical and tangible object and substance.