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LLM-based Translation Across 500 Years. The Case for Early New High German

Volk, Martin; Fischer, Dominic P; Scheurer, Patricia; Schwitter, Raphael; Ströbel, Phillip (2024). LLM-based Translation Across 500 Years. The Case for Early New High German. In: 20th Conference on Natural Language Processing (KONVENS 2024), Wien, Österreich, 10 September 2024 - 13 September 2024. Association for Computational Linguistics, 368-375.

Abstract

The recently developed large language models (LLMs) show surprising translation capabilities for modern languages. In contrast, this paper investigates the ability of GPT-4 and Gemini to translate 500-year-old letters from Early New High German into modern German. We experiment with a corpus from the 16th century that is partly in Latin and partly in ENH-German. This corpus consists of more than 3000 letters that have been edited and annotated by experts from the Institute of Swiss Reformation Studies. We exploit their annotations for the evaluation of machine translation from ENH-German to German. Our experiments show that using the lexical footnotes by the editors in the prompts or directly injected into the text leads to high quality translations.

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Uncontrolled Keywords:Machine Translation, Digital Humanities, Historical Languages
Language:English
Event End Date:13 September 2024
Deposited On:14 Oct 2024 10:33
Last Modified:15 Oct 2024 08:32
Publisher:Association for Computational Linguistics
Series Name:Proceedings of the Conference on Natural Language Processing
Number:20
OA Status:Gold
Free access at:Publisher DOI. An embargo period may apply.
Official URL:https://aclanthology.org/2024.konvens-main.37.pdf
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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