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Sphilberta

Developed by bowphs
SPhilBERTa is a sentence transformer model specifically designed for classical philology, used to identify cross-language citations between Latin and Ancient Greek texts.
Downloads 1,328
Release Time : 8/24/2023

Model Overview

This model is based on the PhilBERTa model and trained using knowledge distillation methods, focusing on sentence similarity tasks involving Ancient Greek, Latin, and English.

Model Features

Cross-language citation recognition
Specifically designed to identify cross-language citation relationships between Latin and Ancient Greek texts
Classical philology optimization
The first systematically optimized language model for classical philology research
Knowledge distillation training
Trained using knowledge distillation methods proposed by Reimers and Gurevych

Model Capabilities

Sentence embedding generation
Cross-language sentence similarity calculation
Classical text analysis

Use Cases

Classical literature research
Cross-language citation detection
Identifying mutual citation relationships between Ancient Greek and Latin literature
Helps researchers discover mutual influences among classical texts
Text similarity analysis
Comparing similarities between different classical texts
Used to study textual transmission and influence relationships
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