Discusses the possibility of storing a compressed form of a translated version of a text that takes advantage of the availability of the original version for more accurate understanding. Experiments that used humans and then computers to predict texts letter by letter are described. (12 references) (LRW)

Suggests structure based on two sets of principles for deriving meaning from data: Shannon's measure of entropy, which provides means of measuring amount of information in message; and Ranganathan's faceted classification scheme, which provides means of determining number of meaningful data. Syntax, meaning, and semantics of data are discussed.…

Describes a semantic content recognition process based on relatively small sets of context relators, logical relators, phase and state relators, and aspect relators, which are connecting tools in describing meanings in process of concept formation and human communication. Semantic analysis of textual data by computer is tested for feasibility.…