1. A method for use in converting semantic information from a source form to a target form, comprising the steps of: obtaining an input string comprising a portion of the semantic information for conversion from said source form to said target form; first identifying a source term of said input string for conversion, wherein a context of said source term is ambiguous; second identifying a plurality of potential subject matter contexts of said input string including a plurality of different usage contexts for said source term in said source form from a portion of the semantic information other than said input string, wherein said plurality of different usage contexts represent identified potential usage contexts of said contextually ambiguous source term that are identified from said semantic information other than said input string in said source form of said semantic information; based on said plurality of subject matter contexts, establishing a set of at least two alternative candidate conversion terms in said target form for said source term, wherein said alternative candidate conversion terms comprise different possible representations of said contextually ambiguous source term in said target form corresponding to different ones of said plurality of different potential usage contexts; performing, using a computer based system, a statistical analysis at least partially based on said plurality of different usage contexts corresponding to said alternative candidate conversion terms, said statistical analysis including establishing a statistical probability for each of said alternative candidate conversion terms and selecting a selected one of said alternative candidate conversion terms having a highest probability of corresponding to a correct usage context of the source term in said string; and using said selected one of said alternative conversion terms to convert said source term from said source form to said target form.
1. A method for use in converting semantic information from a source form to a target form, comprising the steps of: obtaining an input string comprising a portion of the semantic information for conversion from said source form to said target form; first identifying a source term of said input string for conversion, wherein a context of said source term is ambiguous; second identifying a plurality of potential subject matter contexts of said input string including a plurality of different usage contexts for said source term in said source form from a portion of the semantic information other than said input string, wherein said plurality of different usage contexts represent identified potential usage contexts of said contextually ambiguous source term that are identified from said semantic information other than said input string in said source form of said semantic information; based on said plurality of subject matter contexts, establishing a set of at least two alternative candidate conversion terms in said target form for said source term, wherein said alternative candidate conversion terms comprise different possible representations of said contextually ambiguous source term in said target form corresponding to different ones of said plurality of different potential usage contexts; performing, using a computer based system, a statistical analysis at least partially based on said plurality of different usage contexts corresponding to said alternative candidate conversion terms, said statistical analysis including establishing a statistical probability for each of said alternative candidate conversion terms and selecting a selected one of said alternative candidate conversion terms having a highest probability of corresponding to a correct usage context of the source term in said string; and using said selected one of said alternative conversion terms to convert said source term from said source form to said target form. 22. The method as set forth in claim 1 , wherein said establishing a probability comprises determining said probability based on an analysis of successive pieces of evidence for each alternative candidate term.