Compressing annotated natural language text

The paper is devoted to description and evaluation of a new method of linguistically annotated text compression. A semantically motivated transcoding scheme is proposed in which text is split into three distinct strems of data. By applying the scheme it is possible to reduce compressed text length by as high as 67%, compared to the initial compression algorithm. An important advantage of the method is the feasibility of processing text in its compressed form.