INTERTEXTUALITY AS MEANS OF ENSURING THE ADEQUACY OF TRANSLATING SCIENTIFIC TEXTS IN CONDITIONS OF AI USAGE (BASED ON ENGLISH AND GERMAN)
DOI:
https://doi.org/10.31861/gph2026.858-859.3-11Keywords:
intertextuality, translation, specialized text, AI, translation strategy, scientific discourse, terminologyAbstract
The article examines the role of intertextuality as a fundamental tool for ensuring translation adequacy in scientific and specialized texts. The relevance of the study is driven by the necessity to integrate cognitive-linguistic approaches into modern translation practice, which is currently undergoing transformation under the influence of digital technologies. The research employs a comprehensive set of philological methods, including continuous sampling and comparative analysis, to achieve the research goal.
The main manifestations of intertextuality in scientific discourse are analyzed: from direct citations and allusions to implicit markers, such as terminological continuity and genre-specific clichés. The significance of intertextuality is defined as an implicit translation strategy that preserves the logical and philosophical integrity of a text within a specific scientific paradigm.
Particular attention is paid to a comparative analysis of manual translation and translation performed using artificial intelligence (AI). The study highlights the role of the translator as a facilitator capable of verifying presuppositions and correcting inaccuracies in neural network translations when reproducing complex concepts. The paper characterizes the specifics of conveying intertextual links based on the recipient’s background knowledge. Examples of translating German and English scientific structures into Ukrainian are provided and discussed in detail, specifically terms from the history of the language and complex lexical formations inherent in academic writing.
The research establishes that accounting for intertextual links is a critical condition for ensuring the translation adequacy of specialized texts, as it prevents terminological disorientation and stylistic dissonance. It was found that the GPT-4o and Gemini 3 Flash language models maintain translation adequacy when conveying intertextual connections within terms and clichés. It is proved that the effective use of AI in this field is possible only if the specialist possesses high digital and philological competence. Prospects for further research lie in the development of algorithms for evaluating the intertextual validity of machine translation within specific scientific schools, considering the context when translating abstracts, articles, and monographs.
Downloads
References
Alsharefeen, R., & Al Sayari, N. (2025). Examining academic integrity policy and practice in the era of AI: A case study of faculty perspectives. Frontiers in Education, 10, Article 1621743. https://doi.org/10.3389/feduc.2025.1621743
Al-Saidi, A. H. S., & Salman, S. M. (2026). Pragmatic loss in AI and human translation of Frankl’s Man’s Search for Meaning. The Journal of Studies in Language, Culture, and Society, 8(4), 235–256. https://univ-bejaia.dz/revue/jslcs/article/view/804
Baran, U. S. (2020). Intertekstualnist yak implitsytna stratehiia zdiisnennia perekladu fakhovykh tekstiv [Intertextuality as an implicit strategy for the translation of professional texts]. In Naukovyi prostir: aktualni pytannia, dosiahnennia ta innovatsii (Vol. 2, pp. 49–50). MCND.
Biletska, O. V. (2020). Sposoby perekladu skladnykh sliv z nimetskoi movy na ukrainsku (na materiali romanu E. M. Remarka "Try tovaryshi" ta dvokh yoho perekladiv) [Ways of translating compound words from German into Ukrainian (based on E. M. Remarque’s novel "Three Comrades" and its two translations)]. Visnyk Cherkaskoho universytetu. Seriia: Filolohichni nauky, (2), 45–52.
Bowker, L. (2024). De-mystifying translation: Bringing translation theory and practice together in the age of AI. Routledge.
Context Reverso. (n.d.). https://context.reverso.net/переклад/
Duden. (n.d.). https://www.duden.de
Karaban, V. I. (2004). Pereklad anhliiskoi naukovoi i tekhnichnoi literatury [Translation of English scientific and technical literature]. Nova Knyha.
Korunets, I. V. (2003). Teoriia i praktyka perekladu [Theory and practice of translation]. Nova Knyha.
Longman Dictionary of Contemporary English. (n.d.). https://www.ldoceonline.com/dictionary
Martono, Drajati, N. A., Rochsantiningsih, D., & Wijaya, S. A. (2023). Intertextuality in pre-service teachers’ argumentative essay in raising AI: Practices and beliefs. Register Journal, 16(2), 186–206. https://doi.org/10.18326/register.v16i2.186-206
Mohsen, M. (2024). Artificial intelligence in academic translation: A comparative study of large language models and Google Translate. Psycholinguistics, 35(2), 134–156. https://doi.org/10.31470/2309-1797-2024-35-2-134-156
Stolze, R. (2025). The German tradition of hermeneutics in translation studies. Perspectives: Studies in Translation Theory and Practice, 33(2), 195–210.
Yatsyshyn, A. (Ed.). (2025). Shtuchnyi intelekt u nautsi [Artificial intelligence in science]. FOP Yamchynskyi O. V.
