ISuckAtSpelling.nvim: A NeoVim plugin that auto-corrects spelling mistakes in various natural and programming languages!

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/neovim

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  • hunspell

    The most popular spellchecking library.

    Excellent questions. https://github.com/wooorm/dictionaries here are some. The original dataset is here https://github.com/hunspell/hunspell#dictionaries

  • ISuckAtSpelling.nvim

    🍍 A NeoVim plugin for managing vim abbreviations.

    Anybody willing to contribute by creating dictionaries for either natural or programming languages is welcomed! PR it and I'll merge it. Right now it only has an "English dictionary", but as you can see, ISuckAtSpelling is way more powerful than that. Is like having a keyboard without a computer. So please consider helping the project out by creating/improving dictionaries! Instructions on how to contribute can be found here:

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  • vim-abolish

    abolish.vim: easily search for, substitute, and abbreviate multiple variants of a word

    If you want case insensitive auto correction you might want to have a look at https://github.com/tpope/vim-abolish

  • typos

    Source code spell checker

    Not sure where you sourced your dictionary but checkout my spell checker comparison for others that have the same model for you. I know I've tested typos dictionary against Python's typeshed and Linux to identify false positives. codespell has quite a large, well maintained dictionary.

  • vim-litecorrect

    Lightweight auto-correction for Vim

    For sure! But I don't know if that's where I want the project to go. The main idea was to do a Lua rewritte of vim-litecorrect, but then I wanted it to be able to have a better dictionary administration/availability.

  • spellsitter.nvim

    Treesitter powered spellchecker

    There is also spellsitter you might want to look in https://github.com/lewis6991/spellsitter.nvim

  • dictionaries

    Hunspell dictionaries in UTF-8 (by wooorm)

    Excellent questions. https://github.com/wooorm/dictionaries here are some. The original dataset is here https://github.com/hunspell/hunspell#dictionaries

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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