| Summary: | Texts (books, novels, papers, short messages)
are sequences of sentences, words or symbols. Each author
has an unique writing style. It can be characterized
by some collection of attributes obtained from texts. The
text verification is the case of an authorship verification
where we have some text and we analyze if all parts of this
textwere written by the same (unknown or known) author.
In this paper, there are analyzed and compared results of
two developed methods for a text verification based on ngrams
of symbols and on local histograms of words. The
results of a symbol n-gram method and a method of word
histograms for a dissimilarities searching in text parts of
each text are analyzed and evaluated. The searched dissimilarities
call for an attention to the text (or not) if the
text parts were written by the same author or not. The attention
depends on selected parameters prepared in experiments.
Results illustrate usability of the methods to
dissimilarities searching in text parts.
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