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Abstract: Artificial intelligence (AI) is rapidly transforming various fields, including linguistics, by offering new tools for the analysis and generation of human language. As AI tools, particularly chatbots, have become increasingly sophisticated, questions have arisen about their capacity to replicate complex human linguistic processes, such as those covered by the appraisal framework developed by Martin and White (2005). The appraisal framework examines how three main categories – attitude, graduation, and engagement – are expressed in discourse at the semantic level. This paper investigates how AI chatbots, MS Copilot, ChatGPT, and Claude approach appraisal analysis in a selected text, highlighting similarities and notable differences in comparison to human analysis. The findings, although based on analysis of a single text, provide valuable insights into the advantages and drawbacks of AI in mimicking human-like appraisal analysis, which might be beneficial when conducting appraisal research.Umetna inteligenca hitro preoblikuje različna področja, vključno z jezikoslovjem, tako da ponuja nova orodja za analizo in ustvarjanje človeškega jezika. Ker postajajo orodja umetne inteligence, zlasti pogovorni sistemi, vse bolj izpopolnjena, se pojavljajo vprašanja o njihovi sposobnosti ponovitve kompleksnih človeških jezikovnih procesov, kot so tisti zajeti v jeziku vrednotenja, ki sta ga razvila Martin in White (2005). Okvir jezika vrednotenja preučuje, kako se v diskurzu izražajo tri glavne kategorije – odnos, stopnjevanje odnosov in vključenost – na semantični stopnji. Članek raziskuje kako pogovorni sistemi, MS Copilot, ChatGPT in Claude pristopijo k analizi jezika vrednotenja v izbranem besedilu, tako da osvetli podobnosti kot tudi pomembne razlike skozi primerjavo s človeško analizo. Ugotovitve, čeprav temeljijo na enem izbranem besedilu, omogočijo dragoceni vpogled v prednosti in pomanjkljivosti umetne inteligence pri posnemanju človeške jezikovne analize, kar je lahko koristno pri raziskovanju jezika vrednotenja.
Keywords: appraisals, human and AI comparative analyses, ChatGPT, MS Copilot, Claude
Published in DKUM: 22.07.2025; Views: 0; Downloads: 9
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Abstract: This article examines the translation of Harold Pinter's most notable stylistic peculiarities into Slovene, illustrating its main points with examples taken from his play The Homecoming. The findings demonstrate above all a marked degree of non-observance of the special verbal pattern (special cohesion) of the originals, a failure to convey Pinter's special configuration of meaning (special coherence), and a disregard for internal unifying coincidences. It argues that the Slovene translations of Pinter rely mostly on traditional theories of meaning and of language norms, thus preventing the reproduction of those emotional and psychological actions of Pinter's characters which are usually not expressed by means of the rhetorical, informative elements of his dialogue, but by its form and sonority, i. e. the length, strength, and level of articulation of verbal expression. This blurs Pinter's famous logic of emotion, narrows the proverbial openness and conceptual uncertainty of his plays, and limits their potential vitality in translation. Taking into account current drama and theatre translation practices in Slovenia, i.e. the rarity of published drama translation and the depedence on a translated performance text for subsequent theatrical productions, the article argues that in such cases the drama translation should be retrospective, i.e. aiming at a maximum reconstruction of all relevant linguistic, stylistic, and textual properties of the original, leaving expressly subjective interventions in the text to the theatre practitioners.
Keywords: English literature, drama, translation, theory of translation, translation of beletristics, cohesion, coherence, comparative analyses, drama translations
Published in DKUM: 16.05.2017; Views: 1775; Downloads: 199
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