4. The method for content sensing a user's communication of claim 1 , further comprising: generating the first lattice of one or more nodes for the first component of the user's communication wherein the one or more nodes each represent at least one word of at least one hypothesis for the first component of the user's communication and at least one of the one or more nodes of the first lattice represents the first content word; and generating a second lattice of one or more nodes for the second component of the user's communication wherein the one or more nodes each represent at least one word of at least one hypothesis for the second component of the user's communication and at least one of the one or more nodes of the second lattice represents the first content word.
1. A method for content sensing a user's communication, the method comprising: generating based on speech recognition a first lattice for a first component of the user's communication, the first lattice representing at least one hypothesis for the first component of the user's communication, the first lattice comprising a first certainty value for a first content word of at least one hypothesis for the first component of the user's communication; generating a first uncertainty value for the first content word; generating based on speech recognition a second lattice for a second component of the user's communication, wherein the second component is a different segment of the user's communication than the first component, the second lattice representing at least one hypothesis for the second component of the user's communication, the second lattice comprising a second certainty value for the first content word, wherein the first content word is also a content word of at least one hypothesis for the second component of the user's communication; generating a second uncertainty value for the first content word based on the first uncertainty value for the first content word and the second certainty value for the first content word; comparing the second uncertainty value for the first content word to an established confidence threshold; and using the first content word to provide user information if the second uncertainty value of the first content word has a defined relationship to the established confidence threshold.