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Developer’s Description
Cognitive Technologies presents the System for automatic analysis and comparison of texts

For many years, Cognitive Technologies has been developing in the field of text analysis and document understanding. During this time, the company has created an automated text analysis technology capable of solving a wide range of tasks. Elements of this technology were created in the framework of the implementation of large projects, as well as research and development programs that are continuously being carried out in the company. An example of one of the tasks solved using this technology is the Cognitive Text Analyzer system for comparing texts and probabilistic determination of authorship of text (checking for plagiarism).

When developing systems for comparing texts, it is necessary to proceed from the fact that the text of each author is unique. Just as a fingerprint drawing is unique to each person, so each author has his own style. One author uses more verbs, another uses more nouns or adjectives. Someone writes only about nature. Someone about the war. Someone has their own favorite phrases or other literary techniques and schemes characterized by specific structural connections.

The principle of operation of Cognitive Text Analyzer is as follows. The analyzed text is entered into the system. Further, Cognitive Text Analyzer conducts syntactic, semantic and structural analysis and analysis of the text, eliminates syntactic and semantic ambiguities and reveals about a hundred characteristics inherent in this text. The exact number of characteristics depends on the volume of the text and the variety of structures found within it. Parsing speed on a modern office computer is 450-500 text pages per minute.

Unlike existing plagiarism checking systems that use features that can be calculated manually (for example, the average number of words in a sentence, the average number of adjectives, etc.).P.), Cognitive Text Analyzer takes into account not only and not so much the grammatical categories highlighted in the text, but structural connections, the subordination of some constructions to others within a sentence. Highlighted links are invariant to permutation of paragraphs and sentences within the text, contextual replacement of words. Studies have shown that these characteristics demonstrate high statistical stability when applied to the works of a particular author. This allows you to compare textual works, to obtain quantitative estimates of their proximity and, with high statistical reliability, to judge whether one or another author belongs to the pen. For example, if in the fable I.Krylova “The Crow and the Fox” replace “crow” with “cow”, “fox” with “tit”, and “cheese” with “cervelat”, then Cognitive Text Analyzer, despite this, with a high degree of probability will confirm the closeness of the modified text to the original. A similar assessment will be the case if paragraphs are rearranged in the text.

The main module for analyzing and parsing text Cognitive Text Analyzer is publicly available on the website of the Cognitive Technologies company.

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