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+ # ChineseBERT-base
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+ This repository contains code, model, dataset for **ChineseBERT** at ACL2021.
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+
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+ paper:
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+ **[ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information](https://arxiv.org/abs/2106.16038)**
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+ *Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu and Jiwei Li*
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+
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+ code:
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+ [ChineseBERT github link](https://github.com/ShannonAI/ChineseBert)
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+
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+ ## Model description
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+ We propose ChineseBERT, which incorporates both the glyph and pinyin information of Chinese
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+ characters into language model pretraining.
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+
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+ First, for each Chinese character, we get three kind of embedding.
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+ - **Char Embedding:** the same as origin BERT token embedding.
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+ - **Glyph Embedding:** capture visual features based on different fonts of a Chinese character.
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+ - **Pinyin Embedding:** capture phonetic feature from the pinyin sequence ot a Chinese Character.
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+
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+ Then, char embedding, glyph embedding and pinyin embedding
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+ are first concatenated, and mapped to a D-dimensional embedding through a fully
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+ connected layer to form the fusion embedding.
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+ Finally, the fusion embedding is added with the position embedding, which is fed as input to the BERT model.
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+ The following image shows an overview architecture of ChineseBERT model.
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+
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+ ![MODEL](https://raw.githubusercontent.com/ShannonAI/ChineseBert/main/images/ChineseBERT.png)
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+ ChineseBERT leverages the glyph and pinyin information of Chinese
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+ characters to enhance the model's ability of capturing
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+ context semantics from surface character forms and
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+ disambiguating polyphonic characters in Chinese.