Evaluating the Performance of a New Text Rhythm Analysis Tool

Boychuk, Elena; Lagutina, Ksenia; Vorontsova, Inna A.; Mishenkina, Elena; Belyayeva, Ol'ga A

doi:10.33919/esnbu.20.2.3

Cited by 3 publications

(2 citation statements)

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“…The PRD (ProseRhythmDetector) automated tool has been developed by a research group from Yaroslavl State Pedagogical University named after Ushinsky and Yaroslavl Demidov State University with the objective of searching, extracting and performing a statistic analysis of rhythmic characteristics in texts of different type and size in Russian, English, French and Spanish (Lagutina et al, 2020). Based on this automated method, the authors have made a series of text rhythm studies of the 19-21 century literary prose having identified specific features of rhythm in four novels (Boychuk et al, 2020). The article in hand provides the analysis of advertising text rhythmic features for two unrelated languages:…”

Section: Methodsmentioning

confidence: 99%

Comparative Analysis Of Rhythm In Advertising Texts Supported By Proserhythmdetector Automated Tool

Boychuk¹

2021

European Proceedings of Social and Behavioural Sciences

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The article presents an overview of works discussing tools for advertising text analysis as well as advertising text rhythmic characteristics. Based on the theoretical knowledge gained, we conclude that linguistics lacks a comprehensive understating of algorithms for advertising text rhythm analysis. The aggregate of rhythmic devices has a fragmented structure. The article in hand provides analysis of rhythmic devices that have not so far been covered in other works. The authors present a comparative research of English and Russian advertising texts identifying their language-specific rhythmic characteristics. The research was conducted using the ProseRhythmDetector automated tool which permits the search and statistic analysis of such rhythmic devices as anaphora, epiphora, simploce, epanalepsis, epizeuxis, polysyndeton, chiasmus, aposiopesis, repetition of sentences of a similar communicative purpose type. According to the research, diacope proves to be the most frequent rhythmic device both in English and Russian advertising texts, followed (in the descending order of their frequency) by epiphora, anaphora and polysyndeton in English, and anaphora, polysyndeton and repetition of interrogative sentences in Russian. Generally, the number of rhythmic devices in English advertising texts is 22% bigger than in Russian.

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Section: Methodsmentioning

confidence: 99%

Comparative Analysis Of Rhythm In Advertising Texts Supported By Proserhythmdetector Automated Tool

Boychuk¹

2021

European Proceedings of Social and Behavioural Sciences

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“…Biber's work illuminates the need for a nuanced understanding of language registers and their contextual use, emphasizing the dynamic nature of language in diverse sociolinguistic environments. Boychuk et al (2020) evaluate the performance of a new tool for text rhythm analysis. They conducted research on the approach in the context of the English language using data from English texts.…”

Section: Literature Reviewmentioning

confidence: 99%

Linguistic analysis of fiction texts in the context of the frame theory

Kozak,

Ieliseienko,

Zhylin

et al. 2024

Forum Linguist. Stud.

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The aim of the study is to identify and analyse frame structures, activators, and concepts in texts to reveal their impact on the reader’s perception. The research employed the methods of semantic, structural, and intertextual frame analysis. Cronbach’s alpha was also used to verify the instruments used. The following cases were used in the work: Oxford English Corpus and International Corpus of English (ICE). It is noted that frame activators such as “great heat,” “hell heat”, “hot wind”, and “scorching sun” evoke associations with scorching heat and unusual warmth in the desert. These frames convey the impression of life danger, exhaustion, and severity of conditions. In turn, phraseological units such as “fresh waters”, “bloody sunset”, and “dried earth” reveal the contradictory nature of the image of the desert, where even such natural phenomena as water and sunset acquire a new, deep shade of meaning. The application of this theory was found to reveal complex language structures and their influence on the understanding and perception of texts. The obtained results open up new opportunities for educational and literary analysis, deepening the understanding of language mechanisms in fiction. Further studies in the field of linguistic analysis of texts should be aimed at considering the interaction between different works of art, focusing on the frame perspective. It is also worth paying attention to the possibilities of using the theory of frames to fulfill practical assignments, such as automatic text analysis.

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Determination of the Features of the Author’s Style of A.S. Pushkin’s Poems by Machine Learning Methods

2022

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This paper presents the study of the author’s style of A.S. Pushkin based on the comparison of his poetic texts with the texts of contemporary poets. The purpose of this study is to determine the features of the author’s style of A.S. Pushkin using machine learning methods. This paper describes the construction of several classifications based on different groups of features, as well as the classification based on a combined set of features from different groups. The quality of all constructed classifications is also analyzed; special attention is paid to the interpretation of the neural network solution and the identification of features of the author’s style.

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Evaluating the Performance of a New Text Rhythm Analysis Tool

Cited by 3 publications

References 5 publications

Comparative Analysis Of Rhythm In Advertising Texts Supported By Proserhythmdetector Automated Tool

Comparative Analysis Of Rhythm In Advertising Texts Supported By Proserhythmdetector Automated Tool

Linguistic analysis of fiction texts in the context of the frame theory

Determination of the Features of the Author’s Style of A.S. Pushkin’s Poems by Machine Learning Methods

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