We have collection of more than 1 Million open source products ranging from Enterprise product to
small libraries in all platforms. We aggregate information from all open source repositories.
Search and find the best for your needs. Check out projects section.
Ruby 2.3 and later ships with this gem and it will automatically be required when a Ruby process starts up. No special setup is required. Aside from the basic features above, the did_you_mean gem comes with experimental features. They can be enabled by calling require 'did_you_mean/experimental'.
LanguageTool is an Open Source proofreading software for English, French, German, Polish, Russian, and more than 20 other languages. It finds many errors that a simple spell checker cannot detect. Receive tips on how to improve your text (including punctuation advice etc.) while typing an e-mail, a blog post or just a simple tweet. Whatever language you're using, LanguageTool will automatically detect it and provide suggestions.
Spelling correction & Fuzzy search: 1 million times faster through Symmetric Delete spelling correction algorithm
The Symmetric Delete spelling correction algorithm reduces the complexity of edit candidate generation and dictionary lookup for a given Damerau-Levenshtein distance. It is six orders of magnitude faster (than the standard approach with deletes + transposes + replaces + inserts) and language independent.
A rudimentary spelling corrector based on How to Write a Spelling Corrector by Peter Norvig. This is a direct port from the Python version with no optimizations or enhancements. Pull requests are welcome but may not be merged into the master branch. It would be interesting to see this project go both ways, meaning as concise as possible (fewest lines) and as performant as possible (fastest execution).The original Python version is 22 lines of code and the Golang version is 88 lines of code.
The dictionaries of various languages used for spellchecking in ONLYOFFICE Document Server.If you have any problems with or questions about ONLYOFFICE Document Server, please visit our official forum to find answers to your questions: dev.onlyoffice.org or you can ask and answer ONLYOFFICE development questions on Stack Overflow.
An async hunspell binding for node.js.(constructor)(<String>affixPath, <Integer>dictPath) - Creates and returns a new SpellCheck instance. affixPath is an absolute path that points to an affix (.aff) file. dictPath is an absolute path that points to a dictionary (.dic) file.
Proofreader takes a website, or a local file, and tries to proofread it using write-good and nodehun. Proofreader can handle both HTML and Markdown files. It distinguishes between these two using MIME types.
Fast spelling check for Travis CI and AppVeyor. It is just simple wrap for yaspeller, CLI for Yandex.Speller API. But it run spelling check only in first CI job, to speed up build time and reduce unnecessary burden for CI service and Yandex.Speller API.
Model was trained on 300K wikipedia sentences + 300K news sentences (english). 95% was used for train, 5% was used for evaluation. Errors model was used to generate errored text from the original one. JamSpell corrector was compared with Norvig's one, Hunspell and a dummy one (no corrections). More details about reproducing available in "Train" section.
Hunspell-is er samvinnuverkefni og samskipti fara fram á póstlista (sjá einnig á vefnum). Orðabækurnar fylgja með LibreOffice. Þær má einnig finna stakar í kóðasafni LibreOffice eða í pakkasafni Debian stýrikerfisins.