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Способы автоматизации сравнительного анализа текстов при выявлении признаков плагиата в экспертизах по делам о нарушении авторских и смежных прав
Юрислингвистика. 2023. № 27(38). С. 94–98.
Белова П.Е.
Within the framework of linguistic expertise on cases of copyright and related rights infringement experts are increasingly faced with the challenge of comparing several texts and searching for full-text, partial and other (lexical, grammatical, semantic, etc.) coincidences in them, as well as determining the values of these coincidences. Comparing documents manually takes a lot of time, especially if the research materials are multi-page texts. This article suggests possible ways to automate and improve this work by using special online document comparison tools: "Copyscape", "Embedika Compare", "Draftable Online", "Compare texts", "Copyleaks Text Compare Tool". The given list of tools for comparing texts is compiled by the article author based on the experience of using them in expert practice. For each of the services, the article indicates its advantages and disadvantages, as well as describes the algorithm of operation and features of the presentation of comparison results. Some tools have simple functionality and display how many words matched, show the percentage of uniqueness of the compared texts, others have more advanced comparison analytics and, in addition to the percentage of matches and the number of identical words, determine the types of similarities of text fragments, highlighting among them identical (full-text), similar (with minimal changes) and paraphrased. Nevertheless, the obtained results of comparing text files still require their expert verification and further linguistic research with the interpretation of the established coincidences and the definition of their type, especially with regard to lexical, grammatical, semantic, syntactic coincidences.
Scientific publishing house Infinity, 2026.
These Conference Proceedings combine materials of the conference –
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Scientific publishing house Infinity, 2026.
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