![]() If you’re interested in the details, this section will get into the specifics of how the spell checker works. Once a word has been ignored, it will be ignored across all instances of Visual Studio for you. By choosing to ignore the issue, Visual Studio will create an exclusion.dic file in your AppData directory on your local machine. You can also choose to ignore the spelling issue. Suggestions when multiple dictionaries are in use For identifiers in a C++ or a C# document, accepting a suggestion will perform a Refactor/Rename, updating all instances of the identifier to make sure the code compiles. For strings and comments, choosing one of these suggestions will do a single, in-place replacement. If multiple dictionaries provide suggestions, the suggestions will be grouped by dictionary. If any of the dictionaries provide spelling suggestions, Visual Studio will provide them. When the context menu comes up, Visual Studio provides three options to handle a spelling issue. You can bring up the quick actions with either “Ctrl+.” or “Alt+Enter”. When the caret is on a spelling error, the quick actions provide solutions for fixing the spelling mistakes. The spell checker can also be enabled or disabled from the menu with the Edit > Advanced > Toggle Text Spell Checker command, or from a button on the main toolbar in Visual Studio. The spell checker can be disabled by unchecking the “Text spell checker” feature under Manage Preview Features. Visual Studio will also suggest alternate spellings, and help correct them, even doing a contextual rename when those misspellings are identifiers, so your code will still compile. Now, when you’re working with any document supported by the spell checker, Visual Studio will mark any words that detects as misspelled words. The feature will be turned on automatically when working with any C#, C++ or Markdown file. To learn more, see the privacy policy.The Visual Studio Spell Checker Getting Started Special thanks to the contributors of the open-source code that was used in this project: Elastic Search, WordNet, and note that Reverse Dictionary uses third party scripts (such as Google Analytics and advertisements) which use cookies. The definitions are sourced from the famous and open-source WordNet database, so a huge thanks to the many contributors for creating such an awesome free resource. In case you didn't notice, you can click on words in the search results and you'll be presented with the definition of that word (if available). For those interested, I also developed Describing Words which helps you find adjectives and interesting descriptors for things (e.g. So this project, Reverse Dictionary, is meant to go hand-in-hand with Related Words to act as a word-finding and brainstorming toolset. That project is closer to a thesaurus in the sense that it returns synonyms for a word (or short phrase) query, but it also returns many broadly related words that aren't included in thesauri. I made this tool after working on Related Words which is a very similar tool, except it uses a bunch of algorithms and multiple databases to find similar words to a search query. So in a sense, this tool is a "search engine for words", or a sentence to word converter. It acts a lot like a thesaurus except that it allows you to search with a definition, rather than a single word. The engine has indexed several million definitions so far, and at this stage it's starting to give consistently good results (though it may return weird results sometimes). ![]() For example, if you type something like "longing for a time in the past", then the engine will return "nostalgia". It simply looks through tonnes of dictionary definitions and grabs the ones that most closely match your search query. The way Reverse Dictionary works is pretty simple.
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