Popular GitHub Repositories for Spell Corrector

State of the Art Natural Language Processing

xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首，句子表征及文本相似度计算等功能

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

中文文本分析工具包（包括- 文本分类 - 文本聚类 - 文本相似性 - 关键词抽取 - 关键短语抽取 - 情感分析 - 文本纠错 - 文本摘要 - 主题关键词-同义词、近义词-事件三元组抽取）

NeuSpell: A Neural Spelling Correction Toolkit

NLP in Python with Deep Learning

基于bert进行中文文本纠错

Listen, attend and spell Model and a Chinese Mandarin Pretrained model (中文-普通话 ASR模型)

Tensorflow implementation of "Listen, Attend and Spell" authored by William Chan. This project utilizes input pipeline and estimator API of Tensorflow, which makes the training and evaluation truly end-to-end.

A curated list of awesome papers on contextualizing E2E ASR outputs

This is a neural spell checker

AI NPCs that can control their actions along with dialogue. For instance, if I ask an NPC to tell me its favorite magic spell, it not only tells me the spell but also performs it!

PyTorch implementation of Listen Attend and Spell Automatic Speech Recognition (ASR).

A spell corrector and text classifier using Deep Neural Network

Articulatory features estimation using Listen Attend and Spell architecture.

tf 2.0 implementation of Listen, attend and spell

This project provides a Persian spelling correction tool that can detect and correct spelling errors in Persian sentences using a combination of techniques including a custom spell checker, BERT-based masked language model for context prediction, and homophone detection.

CHARacter-awaRE Diffusion: Multilingual Character-Aware Encoders for Font-Aware Diffusers That Can Actually Spell

Japanese Spelling Error Corrector using BERT(Masked-Language Model). BERTに基づいて日本語校正