6. A method, comprising: receiving a content at a server over a network; identifying a first token in the content using the server; determining a first probable measure of meaning (PMM) for the first token from a PMM database stored on the server; identifying at least two second tokens; determining a second PMM for each of the at least two second tokens from the PMM database stored on the server; using a proximity function (PF) to modify each of the second PMMs for each of the at least two second tokens, the proximity function factoring in the first token and a distance between the first token and each of the at least two second tokens; and generating a relative measure of meaning (RMM) for the first token, the RMM factoring in the first PMM for the first token and each of the modified PMMs for each of the at least two second tokens, 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 ) ) .
10. A method according to claim 6 , further comprising using the RMM to modify the PMM for the first token in the PMM database.