Vectorizing textual data sources to decrease attribute space dimension

The main focus is given to the problem of search optimization. A new index formation method, based on attribute space is proposed. The amount of stored index is reduced by transforming metadata produced by syntax parser to a set of predefined templates with known parameters. The discussion regards issues of practical implementation related to error correction.