A quantitative analysis of translationese indicators in medical literature translations

Authors

DOI:

https://doi.org/10.33910/1992-6464-2025-217-312-326

Keywords:

scientific literature, medical translation , translationese, translationese indicators, implification, normalization, explicitation, interference

Abstract

Introduction. Translationese comprises a range of linguistic characteristics that distinguish translated texts from originally composed (non-translated) texts in a target language. These characteristics manifest through specific formal indicators frequently associated with reduced translation quality and stylistic unnaturalness. Accounting for such features is particularly crucial in the translation and post-editing of medical scientific literature, where the accurate transmission of information is paramount for clinical practice and patient safety. Moreover, in the context of integrating international medical practice into Russian clinical practice, translation quality becomes a critical determinant for the effective implemen- tation of foreign clinical guidelines and treatment protocols. This study aims to identify indicators of translationese in English-to-Russian translations of medical research articles.
Materials and Methods. The investigation utilized a comparable corpus of 80 texts, comprising 40 translated and 40 non-translated medical research papers. All texts were sourced from peer-reviewed specialized journals and are matched for genre, length, and thematic focus. The analysis was performed using a specialized automated tool designed to detect formal indicators associated with the translatio- nese characteristics of simplification, normalization, explicitation, and interference.
Results. The analysis confirmed the presence of distinct translationese characteristics in the translated corpus. These include decreased lexical density, reduced lexical variety, and lower lexical uniqueness. The translations also exhibited increased frequency of modal constructions with infinitives, participial phrases, prepositional constructions, and subordinate clauses. Furthermore, translations were identified to have higher frequency of discourse markers for introducing new information, expressing contrast, and providing examples, alongside an increased proportion of passive voice verbs. Conclusions. Based on these results, the study proposes preliminary recommendations for translators and post-editors focusing on enhancing terminological precision, mitigating syntactic interference, and carefully managing modality and verb voice.

References

ИСТОЧНИКИ

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SOURCES

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Biblioteka dlya obrabotki estestvennogo russkogo yazyka Natasha [Library for natural Russian language processing Natasha]. (2023 [Online]. Available at: https://pypi.org/project/natasha/ (accessed 15.04.2025). (In English)

Chasterechnye tegi biblioteki pymorphy2 [Part-of-speech tags of pymorphy2 library]. (2020) Dokumentatsiya po grammaticheskim tegam — Documentation on grammatical tags. [Online]. Available at: https://pymorphy2. readthedocs.io/en/stable/user/grammemes.html (accessed 15.04.2025). (In Russian)

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Portal nauchnykh izdanij ELPUB [Catalog of scientific journals ELPUB]. (2025) [Online]. Available at: https://elpub.ru/elpub-journals (accessed 15.04.2025). (In Russian).

DICTIONARIES

Lyashevskaya, O. N., Sharov, S. A. (2009) Novyj chastotnyj slovar’ russkoj leksiki [New frequency dictionary of modern Russian]. Moscow: Azbukovnik Publ. [Online]. Available at: dict.ruslang.ru/freq.php (accessed 15.04.25). (In Russian).

REFERENCES

Baker, M. (1993) Corpus linguistics and translation studies: Implications and applications. In: Text and technology: In honour of John Sinclair. Amsterdam: John Benjamins Publ., pp. 233–252. https://doi.org/10.1075/z.64.15bak (In English)

Belyaeva, L. N., Kamshilova, O. N., Shubina, N. L. (2023) Nauchnaya stat’ya v tekhnologicheskom prostranstve mashinnogo perevoda: pravila i protsedury redaktirovaniya [Scientific article in the technological space of machine translation: Editing rules and procedures]. Saint Petersburg: Knizhnyj dom Publ., 90 p. (In Russian)

Blum-Kulka, S. (1986) Shifts of cohesion and coherence in translation. In: J. House, S. Blum-Kulka (eds.). Interlingual and intercultural communication: Discourse and cognition in translation and second language acquisition studies. Tübingen: Narr Publ., pp. 17–35. (In English)

Church, K. W., Hanks, P. (1990) Word association norms, mutual information, and lexicography. Computational Linguistics, vol. 16, no. 1, pp. 22–29. (In English)

Gellerstam, M. (1986) Translationese in Swedish novels translated from English. In: L. Wollin, H. Lindquist (eds.). Translation studies in Scandinavia: Poceedings from the Scandinavian symposium on translation theory (SSOTT) II. Lund: CWK Gleerup Publ., pp. 88–95. (In English)

Khomutova, T. N. (2010) Nauchnyj tekst: integral’nyj analiz leksiki [Research text: integral analysis of lexis]. Yazyk i kul’tura — Language and Culture, no. 4 (12), pp. 77–98. (In Russian)

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Koppel, M., Ordan, N. (2011) Translationese and its dialects. In: Proceedings of the 49th annual meeting of the association for computational linguistics: Human language technologies. Portland: Association for Computational Linguistics Publ., pp. 1318–1326. (In English)

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Kunilovskaya, M. (2023) Translationese indicators for human translation quality estimation (based on English-to-Russian translation of mass-media texts). Extended abstract of the PhD dissertation (Science and Engineering). Wolverhampton, University of Wolverhampton. [Online]. Available at: http://hdl.handle.net/2436/625250 (accessed 15.04.2025). (In English)

Kunilovskaya, M., Corpas Pastor, G. (2021) Translationese and register variation in English-to-Russian professional translation. In: New Perspectives on Corpus Translation Studies. Singapore: Springer Publ., pp. 133–180. https://doi.org/10.1007/978-981-16-4918-9_6 (In English)

Millar, N., Budgell, B., Fuller, K. (2013) “Use the active voice whenever possible”: The impact of style guidelines in medical journals. Applied Linguistics, vol. 34, no. 4, pp. 393–414. https://doi.org/10.1093/applin/ams059 (In English)

Plotnick, J. (2025) How to use active voice in the sciences. [Online]. Available at: https://www.uc.utoronto.ca/active-voice-in-science (accessed 16.04.2025). (In English)

Serova, O. U. (2025) Avtomatizirovannoe issledovanie indikatorov perevodcheskogo yazyka na materiale perevodov nauchnykh statej [An automated study of translationese indicators in scientific paper translations]. Terra Linguistica, vol. 16, no. 1, pp. 61–81. https://doi.org/10.18721/JHSS.16105 (In Russian)

Toury, G. (1979) Interlanguage and its manifestations in translation. Meta: Journal des Traducteurs — Meta: Translators’ Journal, vol. 24, no. 2, pp. 223–231. https://doi.org/10.7202/004502ar (In English)

Volansky, V., Ordan, N., Wintner, Sh. (2013) On the features of translationese. Digital Scholarship in the Humanities, vol. 30, no. 1, pp. 98–118. https://doi.org/10.1093/llc/fqt031 (In English)

Published

2025-11-18

Issue

Section

Philological Sciences

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