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A PhD proposal outlining a unified end-to-end framework for multilingual metaphor processing, integrating metaphor detection, translation evaluation, and joint modeling using linguistic theory and large language models.
This paper empirically examines the tradeoff between fluency and faithfulness in literary translation using 130,486 paragraphs from 106 novels, finding a consistent negative correlation for human and Google Translate translations, but weaker for TranslateGemma.