Statistical Language Modeling


Many practical applications such as automatic speech recognition, statistical machine translation, spelling correction resort to variants of the well established source-channel model for producing the correct string of words W given an input speech signal, sentence in foreign language, or typed text with possible mistakes, respectively. A basic component of such systems is a statistical language model which estimates the prior probability values for strings of words W.