Patent ID: 7188064
Filing Date: 2007-03-06
Classification: G06F

Abstract:
1. A method for coding text data, comprising the steps of: generating a Hidden Markov Model which computes a probable coding responsive to a first group of text data; coding the first group of text data using a Viterbi algorithm using the Hidden Markov model; updating the Hidden Markov Model based upon the coding of the first group of text data; coding a second group of text data using the Viterbi algorithm using the updated Hidden Markov Model; wherein the step of coding the first group of text data comprises: wherein the steps of coding further comprises the step of determining a most probable proposition using the Viterbi algorithm; wherein the step of determining a most probable proposition further comprises the step of: determining a most probable set of word concepts for each set of words in a text segment and for a plurality of propositions using the Viterbi algorithm; and determining the most probable proposition for the plurality of propositions using the equation: where log [x] denotes the logarithm base p(F)=percentage of time proposition F is used; p(C p(W K≧1.