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DE
Das Volume enthält keine Abstracts in deutscher Sprache.
EN
This study seeks to approach the problem of correspondences between adjectives in the context of translation. On the basis of the French adjective clair, e analyzed as a case of study, the author demonstrates that these items could have a few interpretations in French and in Polish. Such multiple interpretations raised by polysemy can be a problem for the description of these items in lexicographical publications, as well as for translation. Correspondences between adjectives are rarely bi-univocal in two languages and this study gives some insights into the possibilities of using these terms in both languages. Differences between the senses are often highly subtle and contextually determined, so the author makes use of the theory of classes of objects. This kind of complex description allows to find the correct equivalent in another language and to make explicit the relations of equivalence between the two languages.
FR
L'article contient uniquement les résumés en anglais.
RU
Том не содержит аннотаций на русском языке.
EN
Machine translators such as those offered by Google, Deep, ChatGPT and others are already using NMT systems. They apply the techniques of artificial intelligence that are constantly being developed, so they are currently providing increasingly correct and suitable translations. In the first part of this article, the author examines the case of the French verb louer by having it translated in different contexts by three automatic translators mentioned to see how effective they currently are as translation tools. Next, the verb louer is presented and analyzed as seen through the prism of the Antidote 8 dictionary. The last part of the article is devoted to the French-Polish description of the verb studied using the Object-Oriented Approach, with the aim of disambiguating it and developing the system of syntactico-semantic rules (object classes, frames, scripts) enabling the appropriate automatic translation of sentences in which it may appear.
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