2026· SINTEZA· pp. 491-495· 0 citations· 13 references
TL;DR
The results indicate that these AI tools are highly effective at the lexical and syntactic levels, but also reveal limitations in the domain of phraseology, that is, in the translation of stylistically marked linguistic units.
Abstract
: This paper examines the adequacy of translating idiomatic language in Serbian media headlines into German and Russian, with particular emphasis on set expressions using artificial intelligence tools (ChatGPT, Gemini, and Google Translate). The corpus comprises twenty-one headlines collected from online news portals, with a focus on the potential and limitations of these three tools, as well as on the relationship between literalness and expressiveness in translation. The results indicate that these AI tools are highly effective at the lexical and syntactic levels, but also reveal limitations in the domain of phraseology, that is, in the translation of stylistically marked linguistic units.
The research confirms that ChatGPT successfully identifies functional equivalents in the Serbian language, often prioritising the naturalness of expressions over literal translation, often prioritising the naturalness of expressions over literal translation.
Jelena Janackovic, Jovana Bošković, Jelena Mladenović· SINTEZA· 0 citations
This article demonstrates the benefits and pitfalls of utilizing Natural Language Processing to structure a large corpus of newspaper adverts on fugitive enslaved people from the Atlantic World between 1766 and 1821. We evaluate a model for multilingual event extraction trained specifically for fugitive ads and jail li...
Gunvor Simonsen, N. K. Käfer, Heather Freund et al.· Archipelagos· 0 citations
It is argued that automated detection should not replace expert linguistic analysis but should serve as an auxiliary tool for evaluating the probable origin of a text in media linguistics, fact-checking, and educational practic.
N. Babkova, D. Huliieva, Z. Kochuieva et al.· Bulletin of the National Tec...· 0 citations
This study concludes that while all AI tools can transfer denotative meaning, generative models (LLMs) are superior in applying high-level translation techniques necessary for maintaining emotional nuance, discourse cohesion, and literary appeal.
This lexical analysis of the various words, phrases, and acronyms used in French to refer to components and aspects of AI (artificial intelligence) use marks a new period of borrowing from English into French, with the massive return of Anglicisms into contemporary French.
Felicia Dumas· Dynamics of the Romance and...· 0 citations
This paper presents a corpus-based analysis of passive constructions and their translation from English and German
into Catalan. The analysis is grounded in a systematic categorization of the construction families in the three languages and
their translation correspondences, focusing on both form and meaning (conte...
Ulrike Oster, I. N. Ferrando· Languages in Contrast: Inter...· 0 citations
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