[TALLIP] General and Domain Adaptive Chinese Spelling Check with Error Consistent Pretraining

An Analysis Tool to Models for Chinese Spell Checking Released on ACL2023.

Yet Another Chinese Learner Corpus

Code for EMNLP2022 Findings paper "An Error-Guided Correction Model for Chinese Spelling Error Correction"

Python port of SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm

NeuSpell: A Neural Spelling Correction Toolkit

This is the official code for paper titled "Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models".

The code for our ACL2022 findings paper: CRACSpell: A Contextual Typo Robust Approach with Copy Mechanism to Improve Chinese Spelling Correction

Source code for the paper "PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction" in ACL2021

Eval-GCSC: A New Metric Approach for Evaluating ChatGPT's Performance in Chinese Spelling Correction

Code for ACL paper “Training a Better Chinese Spelling Correction Model via Prior-knowledge Guided Teacher”

Code and datasets for paper: QSpell 250K: A Large-Scale, Practical Dataset for Chinese Search Query Spell Correction

SoMu: A Hybrid Approach Towards Chinese Spelling and Splitting Error Correction

source code for paper "PYGC: a PinYin Language Model Guided Correction Model for Chinese Spell Checking"

Code for paper "Improve Chinese Spelling Check by Reevaluation"

NLPCC2023 Shared Task 8: Chinese Spelling Check

The repository for ACL 2023 paper: Disentangled Phonetic Representation for Chinese Spelling Correction

A third-party implementation of paper《SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check》using tensorflow 1.12.0

Source code for the paper "C-LLM: Learn to Check Chinese Spelling Errors Character by Character"

The repository of EMNLP 2023 "A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check"

This repository provides an implementation of "A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models" and "A Training-free LLM-base…

Yet Another Chinese Spelling Check Dataset (YACSC)

Code of the COLING22 paper "uChecker: Masked Pretrained Language Models as Unsupervised Chinese Spelling Checkers"

A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction

Source code for the paper "Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity" in EMNLP 2022

Dynamic Connected Networks for Chinese Spelling Check