Macielyoung / T5Corrector
基于T5模型的中文文本纠错
☆26Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for T5Corrector
- ☆52Updated 9 months ago
- The Corpus & Code for EMNLP 2022 paper "FCGEC: Fine-Grained Corpus for Chinese Grammatical Error Correction" | FCGEC中文语法纠错语料及STG模型☆107Updated 3 months ago
- 基于seq2edit (Gector) 的中 文文本纠错。☆26Updated 2 years ago
- CCL2022汉语学习者文本纠错评测任务赛道二——CGED-8第一名解决方案☆52Updated last year
- code and data for "CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers"☆57Updated 3 months ago
- 中文文本纠错相关的论文、比赛和工具。☆49Updated 4 months ago
- Code & Data for our Paper "NaSGEC: Multi-Domain Chinese Grammatical Error Correction for Native Speaker Texts" (ACL 2023 Findings)☆76Updated last year
- Correcting Chinese Spelling Errors with Phonetic Pre-training 非官方实现☆38Updated 2 years ago
- The repository of EMNLP 2023 "A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check"☆14Updated last year
- Rephrasing Language Model for CSC (AAAI 2024)☆37Updated 6 months ago
- 历届中文句法错误诊断技术评测数据集☆35Updated 2 years ago
- Code & data for our EMNLP2022 paper "SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser"☆80Updated 8 months ago
- ☆46Updated 11 months ago
- SIGHAN中文纠错数据集及转换后格式☆63Updated 4 years ago
- ☆30Updated last year
- ☆61Updated 3 months ago
- ☆57Updated last year
- Dynamic Connected Networks for Chinese Spelling Check☆50Updated 7 months ago
- CCL 2022 汉语学习者文本纠错评测☆135Updated last year
- 基于模板的文本纠错;Automatically Mining Error Templates for Grammatical Error Correction☆37Updated 2 years ago
- LORA微调BLOOMZ,参考BELLE☆25Updated last year
- 基于pytorch的中文拼写纠错,使用的模型是Bert以及SoftMaskedBert☆31Updated 3 years ago
- 格物-多语言和中文大规模预训练模型-轻量版,涵盖纯中文、知识增强、113个语种多语言,采用主流Roberta架构,适用于NLU和NLG任务, 支持pytorch、tensorflow、uer、huggingface等框架。 Multilingual and Chinese …☆26Updated 2 years ago
- This repository open-sources our GEC system submitted by THU KELab (sz) in the CCL2023-CLTC Track 1: Multidimensional Chinese Learner Tex…☆14Updated last year
- The code for our ACL2022 findings paper: CRACSpell: A Contextual Typo Robust Approach with Copy Mechanism to Improve Chinese Spelling Cor…☆74Updated 2 years ago
- 中文机器阅读理解数据集☆100Updated 3 years ago
- pytorch版unilm模型☆25Updated 3 years ago
- 基于python的BM25文本匹配算法实现☆26Updated 2 years ago
- 文本智能校对大赛(Chinese Text Correction)的baseline☆64Updated 2 years ago
- CCL 2023 汉语学习者文本纠错评测☆26Updated last year