METHODS AND SYSTEMS FOR MEASURING SEMANTICS IN COMMUNICATIONS

A content is divided into tokens. Tokens can represent sounds, symbols, letters, words, sentences, paragraphs, or documents, among other possibilities. Probable measures of meaning (PMMs) are determined for each token. Given a target token, a proximity function for other tokens can be calculated, which in turn can be used to modify the PMMs for the other tokens. These modified PMMs for the other tokens can then be used in conjunction with the PMM for the target token to generate a relative measure of meaning (RMM) for the target token.