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Chinesebert Large

Developed by junnyu
ChineseBERT is a Chinese pre-training model that integrates glyph and pinyin information, enhancing Chinese comprehension through improved glyph features
Downloads 21
Release Time : 3/2/2022

Model Overview

This model enhances traditional BERT's Chinese processing capabilities by combining Chinese character glyph structures (Wubi/stroke order) and pinyin information, suitable for Chinese text understanding and generation tasks

Model Features

Glyph Enhancement
Integrates Wubi encoding and stroke order features of Chinese characters to enhance the model's understanding of Chinese morphology
Pinyin Integration
Combines Chinese character pinyin information to resolve ambiguity issues with homophones
Pre-training Optimization
Pre-training objectives specifically designed for Chinese characteristics to improve semantic capture capability

Model Capabilities

Chinese text understanding
Masked word prediction
Chinese semantic representation learning

Use Cases

Text Completion
Chinese Cloze Test
Predict masked Chinese vocabulary
Example: 'Beijing is the capital of [MASK] country' correctly predicted as 'China' (accuracy 83.41%)
Educational Applications
Chinese Learning Assistance
Detects and corrects typos based on glyph features
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