arXiv (All)
open access
Quantitative Measurement of Language Distance among Closely Related Indo-European Languages Using Pretrained Language Models: A Case Study on the North Germanic Branch
Among closely related North Germanic languages, the quantification of language distance has traditionally relied on qualitative methods, lacking a unified multi-dimensional computational framework. Multilingual pretrained models based on the Transformer architecture can map texts from different lang
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Pre-trained Language Models in Biomedical Domain: A Systematic Survey#421590
- Large language models capture universal relationship knowledge but compress cultural variation#276560
- Recognized but Not Produced: A Generation Benchmark for Culturally Specific Kinship Terms#1063153
- Performance of multimodal large language models in statistical map understanding: reading, analysis, and interpretation tasks#809995
- The Curse of Multilinguality in Lexical Normalization#819784
Record · ID 1119225
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive