Characterizing the Effects of Translation on Intertextuality using Multilingual Embedding Spaces

Hope McGovern, Hale Sirin, Tom Lippincott
1/18/2025
cs.CL

No official code found. Best implementation: comp-int-hum/literary-translation (3 stars, last commit 2024-10-21).

Abstract

Rhetorical devices are difficult to translate, but they are crucial to the translation of literary documents. We investigate the use of multilingual embedding spaces to characterize the preservation of intertextuality, one common rhetorical device, across human and machine translation. To do so, we use Biblical texts, which are both full of intertextual references and are highly translated works. We provide a metric to characterize intertextuality at the corpus level and provide a quantitative analysis of the preservation of this rhetorical device across extant human translations and machine-generated counterparts. We go on to provide qualitative analysis of cases wherein human translations over- or underemphasize the intertextuality present in the text, whereas machine translations provide a neutral baseline. This provides support for established scholarship proposing that human translators have a propensity to amplify certain literary characteristics of the original manuscripts.

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32Python, Jupyter NotebookDec 14, 20232 years ago

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Cite this paper

@article{mcgovern2025characterizing,
  title  = {Characterizing the Effects of Translation on Intertextuality using Multilingual Embedding Spaces},
  author = {Hope McGovern and Hale Sirin and Tom Lippincott},
  year   = {2025},
  eprint = {2501.10731},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.10731v1}
}

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