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The present paper examines the application of sentence length frequency profiling for the characterization of the writing styles of different authors in authorship attribution. The frequency distribution of the sentence lengths is first determined for various Hindi texts, and the parameters of the derived distributions associated with the selected statistical features calculated on the basis of frequency profile are then used for description of 77 texts written by four authors.
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Pande et al. (2015) studied this question.
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