Aristoberto
A Transformer model for low-resource Ancient Greek, initialized with pre-training on Greek BERT and further trained on Ancient Greek corpora
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Release Time : 3/2/2022
Model Overview
aristoBERTo is a specialized Transformer model for Ancient Greek, suitable for tasks such as POS tagging, morphological analysis, dependency parsing, and lemmatization, as well as damaged text restoration
Model Features
Low-resource language optimization
Specially optimized for low-resource Ancient Greek, demonstrating excellent performance with limited corpora
Multi-task processing capability
Capable of handling multiple linguistic tasks simultaneously, including POS tagging, morphological analysis, dependency parsing, and lemmatization
Transfer learning application
Initialized with modern Greek BERT model and fine-tuned through transfer learning on Ancient Greek corpora
Model Capabilities
Ancient Greek POS tagging
Ancient Greek morphological analysis
Ancient Greek dependency parsing
Ancient Greek lemmatization
Ancient Greek text restoration
Use Cases
Academic research
Classical literature analysis
Used to analyze linguistic features in Ancient Greek philosophical and historical texts
Outperforms xlm-roberta-base and mdeberta models in multiple language processing tasks
Cultural heritage preservation
Damaged text restoration
Restores damaged texts in Greek papyri, inscriptions, and manuscripts
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