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This paper describes a multilayer model-based approach for text compression. It uses linguistic information to develop a multilayer decomposition model of the text in order to achieve better compression. This new approach is illustrated for the case of the Arabic language, where the majority of words are generated according to the Semitic root-and-pattern scheme. Text is split into three linguistically homogeneous layers representing the three categories of words: derivative, non-derivative and functional words. A fourth layer, called the Mask, is introduced to aid with the reconstruction of the original text from the three layers in the decoding side. Suitable compression techniques are then applied to the different layers in order to maximize the compression ratio.
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