Author Verification using PPM with Parts of Speech Tagging
نویسنده
چکیده
In this paper we describe a compression-based authorship verification model used in conjunction with a parts of speech tagger. We use standard language-specific parts of speech taggers on the texts in question to generate a stream of symbols representing each word, run the PPM (Prediction by Partial Matching) algorithm on the resulting stream, and use Bobicev’s method of calculating and comparing cross-entropies to determine text authorship.
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