Evaluating the Performance of a New Text Rhythm Analysis Tool

Keywords: text rhythm analysis, diacope, epanalepsis, anaphora, epiphora, symploce, epizeuxis, anadiplosis

Abstract

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.

Author Biographies

Ksenia Lagutina, P. G. Demidov Yaroslavl State University, Russia

Ksenia Lagutina, MSc in Computer Science, is a Postgraduate Student and Assistant Professor with the Department of Theoretical Informatics, P.G. Demidov Yaroslavl State University, Russia.

Inna Vorontsova, K. D. Ushinsky Yaroslavl State Pedagogical University, Yaroslavl, Russia

Inna Vorontsova, PhD, is an Associate Professor with the Department of Translation and Interpretation, K.D. Ushinsky Yaroslavl State Pedagogical University, Russia. She teaches courses in lexicography, legal translation, and English as a foreign language. Her research interests lie in the field of lexicology and lexicography, discourse analysis and theory of translation.

Elena Mishenkina, K. D. Ushinsky Yaroslavl State Pedagogical University, Yaroslavl, Russia

Elena Mishenkina, PhD, is an Associate Professor with the Department of Translation and Interpretation, K.D. Ushinsky Yaroslavl State Pedagogical University, Russia. She teaches courses in translation, intercultural communication, and English as a foreign language. Her research interests include linguistics, psycholinguistics, ethnosociolinguistics, communication theory and theory of translation.

Olga Belyayeva, K. D. Ushinsky Yaroslavl State Pedagogical University, Yaroslavl, Russia

Olga Belyayeva is an Assistant Professor with the Department of Translation and Interpretation, K.D. Ushinsky Yaroslavl State Pedagogical University, Russia. She teaches courses in translation and English as a foreign language. Her research interests are related to applied linguistics, corpus linguistics and English literature.

References

Balint, M., & Trausan-Matu, S. (2016). A critical comparison of rhythm in music and natural language. Annals of the Academy of Romanian Scientists, Series on Science and Technology of Information, 9(1), 43–60.

Boychuk, E., & Belyaeva, O. (2019). La téchnique de stylométrie réalisée à la base de l’analyse informatique du rythme du texte. 10-ièmes Journées Internationales de Linguistique de Corpus (JLC). Université Grenoble-Alpes, 26-28.11.19. 163-167.

Boychuk E., Vorontsova I., Shliakhtina E., Lagutina K., Belyaeva O. (2020) Automated Approach to Rhythm Figures Search in English Text. In Wil M. P. van der Aalst, V. Batagelj, D. I. Ignatov, M. Khachay, V. Kuskova, A. Kutuzov, S. O. Kuznetsov, I. A. Lomazova, N. Loukachevitch, A. Napoli, P. M. Pardalos, M. Pelillo, A. V. Savchenko, E. Tutubalina (Eds.), Analysis of Images, Social Networks and Texts. AIST 2019, Communications in Computer and Information Science, vol 1086 (pp. 107-119). Springer. https://doi.org/10.1007/978-3-030-39575-9_11

Dubremetz, M., & Nivre, J. (2018). Rhetorical Figure Detection: Chiasmus, Epanaphora, Epiphora. Frontiers in Digital Humanities, 5(10). 1-16. https://doi.org/10.3389/fdigh.2018.00010

Dumalus, A., & Fernandez, P. (2011). Authorship attribution using writers rhythm based on lexical stress. Proceedings of the 11th Philippine Computing Science Congress. 82–88

Hou, R., & Huang, C. (2020). Robust stylometric analysis and author attribution based on tones and rimes. Natural Language Engineering, 26(1), 49-71. https://doi.org/10.1017/S135132491900010X

Lagutina, K., Lagutina, N., Boychuk, E., Vorontsova, I., Shliakhtina, E., Belyaeva, O., Paramonov, I. (2019). A Survey on Stylometric Text Features. 25th Conference of Open Innovations Association (FRUCT), Helsinki, Finland, 2019, 184-195. https://doi.org/10.23919/FRUCT48121.2019.8981504

Larionov, V., Petryakov, V., Poletaev, A., Lagutina, K., Manakhova, A., Lagutina, N. and Boychuk, E., (2020). ProseRhythmDetector. K.D. Ushinsky Yaroslavl State Pedagogical University, Yaroslavl, Russia. https://github.com/text-processing/prose-rhythm-detector

Plecháč, P., Bobenhausen, K., Hammerich, B. (2018). Versification and authorship attribution. A pilot study on Czech, German, Spanish, and English poetry. Studia Metrica et Poetica, 5(2), 29–54. https://doi.org/10.12697/smp.2018.5.2.02

Published
2020-12-21
How to Cite
Boychuk, E., Lagutina, K., Vorontsova, I., Mishenkina, E., & Belyayeva, O. (2020). Evaluating the Performance of a New Text Rhythm Analysis Tool. English Studies at NBU, 6(2), 217-232. https://doi.org/10.33919/esnbu.20.2.3
Section
Articles