Toolkit for statistical learning of vocabularies.

Models implemented:

• N-grams ** Combined n-grams with Good-Turing smoothing
• Probabilistic suffix tree ** Suffix-based variable order Markov model
• Variable-length Hidden Markov Model ** New HMM-based approach, built with all words substrings
• Dynamic Markov Model ** Prefix-based variable order Markov model