النص
Volume 12, Numéro 1, Pages 99-115
2026-06-11

Rethinking Machine Translation In The Age Of Ai: Multimodality, Large Language Models, Neural Networks, And The Emergence Of Human -machine Synergy.



Authors : Karima Kacem .

Abstract

Abstract : Translation has not been left behind by the digital revolution; rather, it is among the most affected fields, notably with the emergence of digital tools, smart systems, applications, and platforms, which impact both the translation landscape and the translator’s role. This development has posed several challenges and required a set of skills and competencies to improve the quality of machine translation outputs in the digital era. This research paper aims to shed light on the changes brought about by the technological revolution in the field of translation and how it casts a shadow on the role of the translator in the translation process, from creator to post-editor

Keywords

machine translation ; large language models ; multimodality ; neural networks ; evaluation ; human-machine synergy

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