WeCantSpell.Hunspell
NetSpell
Our great sponsors
WeCantSpell.Hunspell | NetSpell | |
---|---|---|
1 | 1 | |
115 | 50 | |
- | - | |
0.0 | 0.0 | |
4 months ago | about 2 years ago | |
C# | C# | |
GNU General Public License v3.0 or later | MIT License |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
WeCantSpell.Hunspell
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Rebuilding the most popular spellchecker. Part 1
Note that there are also a few "pragmatic" ports of Hunspell into other languages (in order to use it in environments where C++ dependency is undesireable), namely WeCantSpell.Hunspell in C# and nspell in JS (very incomplete); and aforementioned nuspell can also be considered a "port" (from legacy C++ to a modern one).
NetSpell
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How to verify if a word is a part of the English Language.
Netspell exists (https://github.com/loresoft/NetSpell) it's pretty nice, if you add it to your solution with nuget you'll be able to use it within your project. Otherwise using an online api of some kind (as Str_) suggests.
What are some alternatives?
hunspell - The most popular spellchecking library.
awesome-dotnet-core - :honeybee: A collection of awesome .NET core libraries, tools, frameworks and software
JamSpell - Modern spell checking library - accurate, fast, multi-language
SymSpell - SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
spylls - Pure Python spell-checker, (almost) full port of Hunspell
Jellyfin - The Free Software Media System
ShareX - ShareX is a free and open source program that lets you capture or record any area of your screen and share it with a single press of a key. It also allows uploading images, text or other types of files to many supported destinations you can choose from.
Catalyst - 🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.