Mervyn-1 / CCCR

code for ACL 2023 findings paper: Investigating Glyph-Phonetic Information for Chinese Spell Checking: What Works and What's Next?

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Introduction

This repository provides the official PyTorch implementation of the research paper 'Investigating Glyph-Phonetic Information for Chinese Spell Checking: What Works and What's Next?'

Dependencies

We use anaconda to create python environment:

conda create --name python=3.6

Install all required libraries:

pip install -r requirements.txt

Probe

Coming soon...

CCCR

Coming soon...

Thanks

Some of the code was adapted from:

About

code for ACL 2023 findings paper: Investigating Glyph-Phonetic Information for Chinese Spell Checking: What Works and What's Next?


Languages

Language:Python 84.2%Language:Jupyter Notebook 13.9%Language:Shell 1.2%Language:HTML 0.7%Language:C 0.0%