Publication: LLM-based Machine Translation and Summarization for Latin
LLM-based Machine Translation and Summarization for Latin
Date
Date
Date
Citations
Volk, M., Fischer, D. P., Fischer, L., Scheurer, P., & Ströbel, P. (2024). LLM-based Machine Translation and Summarization for Latin (R. Sprugnoli & M. Passarotti, Eds.).
Abstract
Abstract
Abstract
This paper presents an evaluation of machine translation for Latin. We tested multilingual Large Language Models, in particular GPT-4, on letters from the 16th century that are in Latin and Early New High German. Our experiments include translation and cross-language summarization for the two historical languages into modern English and German. We show that LLM-based translation for Latin is clearly superior to previous approaches. We also show that LLM-based paraphrasing of Latin paragraphs from the historical letters produces Englis
Metrics
Downloads
Views
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
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Metrics
Downloads
Views
Citations
Volk, M., Fischer, D. P., Fischer, L., Scheurer, P., & Ströbel, P. (2024). LLM-based Machine Translation and Summarization for Latin (R. Sprugnoli & M. Passarotti, Eds.).
