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Literary post-editors struggle with NMT and LLM metaphor translation

By PulseAugur Editorial · [2 sources] ·

A new paper explores the challenges literary post-editors face when translating metaphors using Neural Machine Translation (NMT) and Large Language Models (LLMs). The study found that post-editors frequently altered one in three metaphors, indicating significant issues with figurative language translation in literary contexts. Participants perceived the MT output quality as poor, often requiring more effort for post-editing than translating from scratch, which also impacted their creative freedom and sense of ownership. AI

IMPACT Highlights significant challenges in using LLMs and NMT for nuanced literary translation, suggesting current models may hinder rather than help creative post-editing.

RANK_REASON The cluster contains an academic paper discussing the performance of NMT and LLMs on a specific linguistic task.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Literary post-editors struggle with NMT and LLM metaphor translation

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Katinka Zeven ·

    Metaphors in Literary Post-Editing: Opening Pandora's Box?

    This paper investigates how post-editors of literary texts react and respond to the way metaphors have been translated by Neu ral Machine Translation (NMT) and Large Language Models (LLMs). The results show that one in three metaphors in the output were changed by the post-editor…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Metaphors in Literary Post-Editing: Opening Pandora's Box?

    This paper investigates how post-editors of literary texts react and respond to the way metaphors have been translated by Neu ral Machine Translation (NMT) and Large Language Models (LLMs). The results show that one in three metaphors in the output were changed by the post-editor…

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