11. The method according to claim 8 , wherein said probabilistic model is a Hidden Markov Model.
8. A method for processing information, comprising: configuring a probabilistic model to process a set of information; determining by a computer processor that prototype information is to be used in said probabilistic model based on a determination of at least one component in said set of information corresponding to a component in a set of components included in the prototypical information; adding, by the computer processor, said prototype information to said probabilistic model, wherein said prototype information includes a the set of components and an associated set of labels; and assigning, by the computer processor, a first label to a first component of said set of information using said probabilistic model.