Publication: LLM-based Translation for Latin: Summaries Improve Machine Translation
LLM-based Translation for Latin: Summaries Improve Machine Translation
Date
Date
Date
Citations
Fischer, D. P., & Volk, M. (2025, May 15). LLM-based Translation for Latin: Summaries Improve Machine Translation. SwissText 2025, Winterthur.
Abstract
Abstract
Abstract
Recent studies demonstrated that modern Large Language Models set a new state-of-the-art in translating historical Latin texts into English and German. Building upon this foundation, we investigate the impact of incorporating text summaries into prompts for LLM-based translation tasks. Having both the historical text and a modern-language summary is a typical setup for classical editions. Our findings reveal that integrating summaries significantly enhances translation accuracy and coherence.
Metrics
Downloads
Views
Citations
Additional indexing
Creators (Authors)
Event Title
Event Title
Event Title
Event Location
Event Location
Event Location
Event Start Date
Event Start Date
Event Start Date
Event End Date
Event End Date
Event End Date
Item Type
Item Type
Item Type
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Keywords
Language
Language
Language
Date available
Date available
Date available
Series Name
Series Name
Series Name
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Metrics
Downloads
Views
Citations
Citations
Fischer, D. P., & Volk, M. (2025, May 15). LLM-based Translation for Latin: Summaries Improve Machine Translation. SwissText 2025, Winterthur.
