Patent ID: 7356463
Filing Date: 2008-04-08
Classification: G06F

Abstract:
1. A method for detecting semantically encoded natural language in textual input data, comprising: segmenting the textual input data into a plurality of token linguistic units to define a linguistic event; assigning a context to one or more of the token linguistic units in the linguistic event; computing a score for the one or more token linguistic units in the linguistic event that are assigned a context; applying a predetermined threshold to the score of the one or more token linguistic units to determine whether their use in the linguistic event in their assigned contexts is implausible; estimating covert meanings of token linguistic units identified as being below the predetermined threshold; and detecting semantically encoded natural language based on replacing all occurrences, within the linguistic event, of the token linguistic units identified as being below the predetermined threshold with the estimated covert meaning of the token linguistic units identified as being below the predetermined threshold; wherein the computed scores for the one or more token linguistic units indicate whether the token linguistic units are expected to appear with their assigned contexts in the linguistic event; and wherein each context, which is assigned to a token linguistic unit in the linguistic event, has at least one linguistic relation that relates the token linguistic unit in the linguistic event and at least one other token linguistic unit in the linguistic event.