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Audiovisual translation (AVT) serves as a critical bridge in the dissemination of information and entertainment across linguistic borders. As streaming platforms and user-generated content repositories expand their global reach, the volume of content requiring localization has outpaced the capacity of human translators. Machine Translation (MT), once a rudimentary tool for gist translation, has evolved into sophisticated Neural Machine Translation (NMT) systems capable of producing fluent, context-aware text. This paper explores the integration of NMT into the subtitling pipeline, highlighting both the technological advancements and the persistent limitations that define the current landscape of automated subtitling. javxsub..com

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