Inna Vorontsova’s research while affiliated with Yaroslavl State Pedagogical University and other places

The article focuses on the study of trans-media in the aspect of linguistic pragmatics and translation studies. The main emphasis of the study is on the Wanda/ Vision line of the multimodal fictional MARVEL universe, represented by comics and TV series. The authors come to the conclusion that the key strategy of translating texts included in the trans-media system should be recognized as adherence to the canon, which guarantees the character and narrative framework recognizability, creates the impression of the wholeness of the trans-media project, and provides the depth of aesthetic experience for the viewer, reader, and fan of the trans-media universe. On the pragmalinguistic plane, the canon definitely includes the semantic and stylistic dominants of the transmedia discourse, formed from the intersections of the dominants of the texts and discourses that form the elements of the project. In the tactical aspect, the translator should be guided by the rules of translation of audiovisual works of the genres that form the trans-media project. Thus, in the context of translating content related to the Wanda/ Vision line, these are, first of all, the rules of translating comics and feature film text.

The paper assesses and evaluates the performance of the ProseRhythmDetector (PRD) Text Rhythm Analysis Tool. The research is a case study of 50 English and 50 Russian fictional texts (approximately 88,000 words each) from the 19th to the 21st century. The paper assesses the PRD tool accuracy in detecting stylistic devices containing repetition in their structure such as diacope, epanalepsis, anaphora, epiphora, symploce, epizeuxis, anadiplosis, and polysyndeton. The article ends by discussing common errors, analysing disputable cases and highlighting the use of the tool for author and idiolect identification.

Text rhythm is recognized as being one of the most important subject areas of modern linguistic studies. There is a considerable amount of literature on the analysis of rhythm in poetry and literary prose. However, few researchers have addressed the problem of using automated tools for rhythm analysis, whereas automated methods can be of great benefit to this cause, especially when the research is conducted on large text corpora. This paper presents a new automated approach to integrated search of rhythm figures in fiction including anaphora, epiphora, anadiplosis, symploce and simple repetition provided for by an original lexical tool designed within the framework of the research. The ad hoc experiments have proved this approach to be reliable and informative.

Analysis of the functional equivalence of an original text and its translation based on the achievement of rhythm equivalence is an extremely important task of modern linguistics. Moreover, the rhythm component is an integral part of functional equivalence that cannot be achieved without communication of rhythm figures of the text. To analyze rhythm figures in an original literary text and its translation, the authors developed the ProseRhythmDetector software tool that allows to find and visualize lexical and syntactic figures in English- and Russian-language prose texts: anaphora, epiphora, symploce, anadiplosis, epanalepsis, reduplication, epistrophe, polysyndeton, and aposiopesis. The goal of this work is to present the results of ProseRhythmDetector testing on two works by English authors and their translations into Russian: Ch. Bronte “Villette” and I. Murdoch “The Black Prince”. Basing on the results of the tool, the authors compared rhythm figures in an original text and its translation both in aspects of the rhythm and their contexts. This experiment made it possible to identify how the features of the author’s style are communicated by the translator, to detect and explain cases of mismatch of rhythm figures in the original and translated texts. The application of the ProseRhythm-Detector software tool made it possible to significantly reduce the amount of linguistsexperts work by automated detection of lexical and syntactic figures with quite high precision (from 62 % to 93 %) for various rhythm figures.

In the paper an automated approach for construction of the terminological thesaurus for a specific domain is proposed. It uses an explanatory dictionary as the initial text corpus and a controlled vocabulary related to the target lexicon to initiate extraction of the terms for the thesaurus. Subdivision of the terms into semantic clusters is based on the CLOPE clustering algorithm. The approach diminishes the cost of the thesaurus creation by involving the expert only once during the whole construction process, and only for analysis of a small subset of the initial dictionary. To validate the performance of the proposed approach the authors successfully constructed a thesaurus in the cardiology domain.