Given the demonstrable deficiencies of indexing and indexes as means of document analysis and selection, a system is proposed which matches uncondensed and unanalysed texts with search requests and semantically equivalent transformations derived from them. The method utilizes the results of machine translation and structural linguistics in syntactic analysis and in semantic classification with adaptations to the requirements of a document selection system.