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Roberta Classical Chinese Large Char
RoBERTa model pretrained on classical Chinese texts, supporting both traditional/simplified Chinese characters, suitable for ancient text processing tasks
Downloads 33
Release Time : 3/2/2022
Model Overview
This is a RoBERTa model pretrained on classical Chinese texts, derived from the large version of Classical Chinese BERT. Character embeddings are enhanced to support both traditional and simplified Chinese characters, and can be fine-tuned for downstream tasks.
Model Features
Specialized for Classical Chinese
Specifically pretrained on classical Chinese texts, optimizing comprehension and processing capabilities for ancient texts
Character-Level Support
Enhanced character embeddings support both traditional and simplified Chinese characters
Multi-Task Applicability
Can be fine-tuned for various downstream tasks such as sentence segmentation and part-of-speech tagging
Model Capabilities
Classical Chinese fill-in-the-blank
Ancient text sentence segmentation
Ancient text part-of-speech tagging
Ancient text dependency parsing
Use Cases
Ancient Text Processing
Ancient Text Fill-in-the-Blank
Fill in missing parts in classical Chinese sentences
As shown in examples, can accurately predict characters like 'č§' in 'ååč§æĸæ į'
Ancient Text Analysis
Perform part-of-speech tagging and syntactic analysis on classical Chinese
Can identify word classes and grammatical relationships in ancient texts
Academic Research
Ancient Text Digitization
Assist in digitizing and analyzing ancient literature
Improves efficiency and accuracy in processing ancient texts
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