shelleyyyyu

shelleyyyyu's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.5k7551.3k7.9k

• sebastianruder/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python22.7k1.3k1013.6k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.4k3071.4k2.6k

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.7k555994.8k

• shibing624/pycorrector

  pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，Qwen2.5等模型应用在纠错场景，开箱即用。

  Language:Python5.7k844801.1k

• chatopera/Synonyms

  :herb: 中文近义词：聊天机器人，智能问答工具包

  Language:Python5k174130901

• MLNLP-World/Paper-Writing-Tips

  MLNLP社区用来帮助大家避免论文投稿小错误的整理仓库。 Paper Writing Tips

  3.7k445472

• RUCAIBox/RecBole

  A unified, comprehensive and efficient recommendation library

  Language:Python3.5k42994616

• jasonwei20/eda_nlp

  Data augmentation for NLP, presented at EMNLP 2019

  Language:Python1.6k3639316

• PrithivirajDamodaran/Gramformer

  A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

  Language:Python1.5k4027177

• zhanlaoban/EDA_NLP_for_Chinese

  An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

  Language:Python1.4k1718240

• iqiyi/FASPell

  2019-SOTA简繁中文拼写检查工具：FASPell Chinese Spell Checker (Chinese Spell Check / 中文拼写检错 / 中文拼写纠错 / 中文拼写检查)

  Language:Python1.2k4146213

• ibm-aur-nlp/PubLayNet

  Language:Jupyter Notebook9343341165

• grammarly/gector

  Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

  Language:Python90721173216

• styfeng/DataAug4NLP

  Collection of papers and resources for data augmentation for NLP.

  83028278

• nonamestreet/weixin_public_corpus

  微信公众号语料库

  574357167

• HillZhang1999/MuCGEC

  MuCGEC中文纠错数据集及文本纠错SOTA模型开源；Code & Data for our NAACL 2022 Paper "MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction"

  Language:Python51266065

• mhagiwara/github-typo-corpus

  GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors

  Language:Python49714638

• wdimmy/Automatic-Corpus-Generation

  This repository is for the paper "A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check"

  Language:Python2908775

• TaoMiner/joint-kg-recommender

  Language:Python24191255

• xwhan/One-shot-Relational-Learning

  Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)

  Language:Python239132242

• nusnlp/m2scorer

  MaxMatch (M^2) Scorer - Evaluation program for grammatical error correction systems.

  Language:Python1494737

• jcyk/BERT

  a simple yet complete implementation of the popular BERT model

  Language:Python12611419

• gotutiyan/GEC-Info

  Repository to collect and categorize Grammatical Error Correction papers.

  1148310

• lipiji/TtT

  code for ACL2021 paper "Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction"

  Language:Python9953017

• HillZhang1999/CTC-Report

  CTC2021-中文文本纠错大赛的SOTA方案及在线演示

  723109

• bitallin/MiduCTC-competition

  文本智能校对大赛(Chinese Text Correction)的baseline

  Language:Python641114

• Aolin-MIR/soft-masked-bert-for-spelling-error-correction

  A third-party implementation of paper《Spelling Error Correction with Soft-Masked BERT》using tensorflow==1.12.0

  Language:Python22284

• pkucoli/NLPCC2018_GEC

  Data for NLPCC2018 Shared Task--Grammatical Error Correction (GEC).

  8

• getao/NLP-progress

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

  Language:Python5102