A method of training a natural language processing unit applies a candidate learning set to at least one component of the natural language unit. The natural language unit is then used to generate a meaning set from a first corpus. A second meaning set is generated from a second corpus using a second natural language unit and the two meaning sets are compared to each other to form a score for the candidate learning set. This score is used to determine whether to modify the natural language unit based on the candidate learning set.

 
Web www.patentalert.com

< Digital audio signal filtering mechanism and method

< Method and system for expansion of recurring calendar events

> Write-back to cells

> System and method for updating contents of a flash ROM

~ 00247