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Article . 2020 . Peer-reviewed
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Analysis of Verbal Trademarks for Similarity to the Point of Confusion: Algorithm for the Work of a Forensic Linguist (Case Study)

Authors: Anastasia AKinina;

Analysis of Verbal Trademarks for Similarity to the Point of Confusion: Algorithm for the Work of a Forensic Linguist (Case Study)

Abstract

The article aims at the description of the algorithm of a forensic linguist work on the analysis of wordmarks(trademarks) for identity and similarity to the degree of confusion. The algorithm is described by a case study from expert practice – comparison of the names of reputable companies “Chickenses” and “Chickentses”, the first of which is a trademark registered within the territory of the Russian Federation.

Keywords

similarity to the point of confusion, лингвистическая экспертиза, ассоциативный эксперимент, forensic linguistics, P1-1091, phonosemantic analysis, фоносемантический анализ, K, товарный знак, associative experiment, trademark, Philology. Linguistics, Law, сходство до степени смешения

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold