1. A system, comprising: a server; a probable measure of meaning (PMM) database stored on the server, the PMM database storing PMMs for a plurality of tokens; an input port to receive a content; a token determination unit on the server operative to determine a token in said content; a relative measure of meaning (RMM) calculation unit on the server operative to calculate a RMM for said token, factoring in a first probable measure of meaning (PMM) from the PMM database for said token and a plurality of second PMMs from the PMM database for a plurality of second tokens in said content using a proximity function (PF) according to R ⁢ ⁢ M ⁢ ⁢ M ⁡ ( token n ) = P ⁢ ⁢ M ⁢ ⁢ M ⁢ ⁢ ( token n ) ⨯ Mean d i = - d ⁡ ( P ⁢ ⁢ M ⁢ ⁢ M ⁡ ( token n - i ) * P ⁢ ⁢ F ⁡ ( token n , token n - i , i ) ) ; and an output port to output a report including the RMM of said token.
1. A system, comprising: a server; a probable measure of meaning (PMM) database stored on the server, the PMM database storing PMMs for a plurality of tokens; an input port to receive a content; a token determination unit on the server operative to determine a token in said content; a relative measure of meaning (RMM) calculation unit on the server operative to calculate a RMM for said token, factoring in a first probable measure of meaning (PMM) from the PMM database for said token and a plurality of second PMMs from the PMM database for a plurality of second tokens in said content using a proximity function (PF) according to R ⁢ ⁢ M ⁢ ⁢ M ⁡ ( token n ) = P ⁢ ⁢ M ⁢ ⁢ M ⁢ ⁢ ( token n ) ⨯ Mean d i = - d ⁡ ( P ⁢ ⁢ M ⁢ ⁢ M ⁡ ( token n - i ) * P ⁢ ⁢ F ⁡ ( token n , token n - i , i ) ) ; and an output port to output a report including the RMM of said token. 3. A system according to claim 1 , further comprising a proximity function database.