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  1. In the context of a more linked and globalized society, the significance of proficient cross-cultural communication has been increasing to a position of utmost importance. Language functions as a crucial medium that establishes connections among people, corporations, and countries, demanding the implementation of precise and effective translation systems. This comprehensive review paper aims ...

  2. May 30, 2024 · A survey of more than 750 translators — conducted in April 2024 for the 2024 Slator Language Industry Market Report — found that AI adoption by professional linguists is now widespread. Two-thirds of translators have used AI in their translation work in the past 12 months. Whether via AI models (e.g., ChatGPT, Gemini), translation ...

  3. Feb 23, 2024 · The primary objective. is to provide a nuanced understanding of the current state of AI-driven language translation, emphasizing the. advancements, challenges, and ethical considerations. In this ...

  4. Sep 1, 2020 · The quality of human translation was long thought to be unattainable for computer translation systems. In this study, we present a deep-learning system, CUBBITT, which challenges this view. In a ...

    • Martin Popel, Marketa Tomkova, Jakub Tomek, Łukasz Kaiser, Jakob Uszkoreit, Ondřej Bojar, Zdeněk Žab...
    • 2020
  5. Jul 18, 2024 · 4. Continuous Enrichment. Language is dynamic and constantly evolving. That’s why regularly enriching AI models with fresh data and linguistic insights is vital for upholding translation accuracy amidst linguistic flux. The more information is being fed to these platforms, the better the accuracy will be. 5.

  6. Jun 5, 2024 · Our final model—which includes 200 languages and three times as many low-resource languages as high-resource ones—performs, as a mean, 44% better than the previous state-of-the-art systems ...

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  8. Sep 11, 2024 · The language industry has begun to incorporate AI technology into the tools it already uses, CAT (computer-assisted translation) tools and translation management systems in particular. Adapted use of LLMs can also help improve translation quality, implement client brand style and terminology, and optimise workflows generally.

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