 Similar approaches were employed in early speech recognition attempts starting in the late 70s at IBM using word/part-of-speech pair probabilities.More recently these kinds of statistical approaches have been applied to more difficult tasks such as topic identification using Bayesian parameter estimation to infer topic probabilities in text documents.Modern computational linguistics is often a combination of studies in computer science and programming, math, particularly statistics, language structures, and natural language processing.