The MIT Language Modeling (MITLM) toolkit is a set of tools designed for the efficient estimation of statistical n-gram language models involving iterative parameter estimation. It achieves much of its efficiency through the use of a compact vector representation of n-grams. Details of the data structure and associated algorithms can be found in the following paper: Bo-June (Paul) Hsu and James Glass.