Results 11 to 20 of about 11,370 (266)

DeepL et Google Translate face à l'ambiguïté phraséologique [PDF]

open access: yesJournal of Data Mining and Digital Humanities, 2022
Malgré les progrès de la traduction automatique neuronale, l'intelligence artificielle ne permet toujours pas à la machine de comprendre pour déjouer tous les pièges de la traduction, notamment ceux de l'ambiguïté lexicale, phraséologique, syntaxique et ...
Françoise Bacquelaine
doaj   +6 more sources

Dan Brown, Patricia Cornwell et John Grisham à l'épreuve de DeepL [PDF]

open access: yesJournal of Data Mining and Digital Humanities, 2022
Cet article n’est pas l’œuvre d’un chercheur en traductologie ni en traitement automatique du langage. Il est le simple témoignage oral d’un professionnel, une reprise verbatim de ma communication dans le cadre du colloque Robotrad, où j’ai tenté de ...
Dominique Defert
doaj   +4 more sources

How do DeepL and ChatGPT process information structure and pragmatics?

open access: yesAI-Linguistica
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
doaj   +3 more sources

Voyage au bout de la traduction automatique [PDF]

open access: yesJournal of Data Mining and Digital Humanities, 2022
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
doaj   +1 more source

Metamorphic Robustness Testing for DeepL Translation

open access: yesJournal of Physics: Conference Series, 2023
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
openaire   +1 more source

Data Protection, Cookie Consent, and Prices

open access: yesEconomies, 2022
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
doaj   +1 more source

Un Un estudio comparado de la traducción automática de eventos de movimiento de cruce de límites en inglés, español e italiano con Google Translate y DeepL

open access: yesLinguamática, 2023
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
doaj   +1 more source

Advantages and pitfalls of machine translation for party research: the translation of party manifestos of European parties using DeepL

open access: yesFrontiers in Political Science, 2023
Parties are the central actors in representative democracies as they perform important democratic functions. Thus, the identification of party positions is a crucial concern. Party researchers mainly rely on party manifestos to estimate policy positions.
Johanna Ida Plenter
doaj   +1 more source

A Study on Automatic Machine Translation Tools: A Comparative Error Analysis Between DeepL and Yandex for Russian-Italian Medical Translation

open access: yesUmanistica Digitale, 2021
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
doaj   +1 more source

Mind vs. machine: Comparative analysis of metaphor-related word translation by human and AI systems [PDF]

open access: yesTraining, Language and Culture
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
doaj   +1 more source

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