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L'IA en action : parler toutes les langues

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  • Philippe Jean-Baptiste

    (LEST - Laboratoire d'Economie et de Sociologie du Travail - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique)

Abstract

The article explores recent advances in artificial intelligence in the field of machine translation. Based on technologies such as Google Translate, DeepL or Whisper, AI now allows you to translate texts, voices, and even conversations in real time, with an unprecedented degree of fluidity and precision. Three main axes are developed: (1) automated written translation and its progress related to multilingual deep learning, (2) the rise of simultaneous voice translation in services, videoconferences or mobile assistance, and (3) video translation (subtitling, dubbing), which transforms uses in media, education or e-learning. Beyond the technical prowess, the article questions the cultural, ethical and professional implications of this new linguistic ubiquity. It warns of the risks of decontextualization, bias or standardization, while highlighting the contributions to inclusion, international cooperation and language learning.

Suggested Citation

  • Philippe Jean-Baptiste, 2025. "L'IA en action : parler toutes les langues," Post-Print hal-05308776, HAL.
  • Handle: RePEc:hal:journl:hal-05308776
    Note: View the original document on HAL open archive server: https://hal.science/hal-05308776v1
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