Python port of SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
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Updated
Apr 26, 2025 - Python
Python port of SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
NeuSpell: A Neural Spelling Correction Toolkit
Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).
✔️Contextual word checker for better suggestions (not actively maintained)
State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.
Punctuation restoration and spell correction experiments.
Mimix: A Text Generation Tool and Pretrained Chinese Models
✏️ Hunspell extension for spaCy 2.0.
AI agent to automatically check grammar and spelling on documentation files
Arabic support for textblob
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, code generation, and more...
Keras implementation of character-level sequence-to-sequence learning for spelling correction
This repository provides an implementation of the paper "A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models".
Python 3 library for processing historical English
Deep Learning neural network for correcting spelling
Turkish Spell Checker Library
OCR Machine Learning in python
🔎📝 This is a module to make specifics OCRs at food products and nutritional tables.
A spell corrector and text classifier using Deep Neural Network
Vietnamese spelling error correction with Seq2Seq model
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