Results 11 to 20 of about 11,491 (262)
How do DeepL and ChatGPT process information structure and pragmatics?
This case study focuses on a specific construction that exists in both Spanish and Portuguese, but not in English: topicalized infinitives (=TI), e.g., Sp. comer no come ‘as for eating s/he does not eat’.
Katharina Gerhalter
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Re-framing conceptual metaphor translation research in the age of neural machine translation: Investigating translators’ added value with products and processes [PDF]
The exploratory study reported in this article is predicated on the notion that human translators’ cognition represents a key added value over disembodied artificial intelligence.
Gary Massey
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Voyage au bout de la traduction automatique [PDF]
Des outils de traduction automatique, dont certains sont très performants, sont mis gratuitement à la disposition du public ; cette réalité est à prendre en considération dans l'enseignement de la traduction.
Jean-Yves Bassole
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Metamorphic Robustness Testing for DeepL Translation
Abstract Due to the complexity and flexibility of natural languages, such robustness testing involving the ability of machine translation software to handle incorrect or unintended input are extremely challenging, especially if there is no human oracle or reference translation. In this paper, using metamorphic robustness testing methods,
Zilong Li +3 more
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Data Protection, Cookie Consent, and Prices
A legislative process is currently ongoing in the European Union to supplement the 2018 General Data Protection Regulation regarding ePrivacy regulation. The supplement is intended to complete the European data protection policy in significant areas. One
Thomas Wein
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En este artículo se presenta un estudio comparado de las traducciones generadas por dos herramientas de traducción automática en línea (Google Translate y DeepL) para eventos de movimiento que implican un cruce de límites.
Nicola Florio
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The present research is aimed at conducting a study with regard to Russian-Italian medical translation on the current development of two Machine Translation tools that feature prominently in today’s Neural Machine Translation framework, namely DeepL and ...
Giulia Cambedda +2 more
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Mind vs. machine: Comparative analysis of metaphor-related word translation by human and AI systems [PDF]
The present study presents a comparative analysis of the translation processes and outcomes of human translators, Neural Machine Translation (NMT) systems and Large Language Models (LLMs) focusing on the translation of Metaphor-related Words (MRW).
Zhengjian Li, Lang Chen
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Machine vs Human Translation of Formal Neologisms in Literature:
This article compares the output of three neural machine translation systems (Google Translate, DeepL, and Phrase TMS) and human translation (undergraduate level students, English into Spanish).
Laura Noriega-Santiáñez +1 more
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Artificial Intelligence Translator DeepL Translation Quality Control
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