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Regular expressions are used in search engines, in search and replace dialogs of word processors and text editors, in text processing utilities such as sed and AWK, and in lexical analysis. Regular expressions are supported in many programming languages.
Some of these words occur in a context where duplication is intended, such as for emphasis: please please, blah blah, yadda yadda, very very; where the scientific name of an animal coincides with the common name: Gorilla gorilla, Homo sapiens sapiens; where the genus and subgenus have the same name: Octopus Octopus; or even part of the name ...
Autocorrect in Windows 10, correcting the word "mispelled" to "misspelled".. Autocorrection, also known as text replacement, replace-as-you-type, text expander or simply autocorrect, is an automatic data validation function commonly found in word processors and text editing interfaces for smartphones and tablet computers.
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wikEd is a full-featured, in-browser text editor that adds enhanced text processing functions to Wikipedia and other MediaWiki edit pages (currently Mozilla, Firefox, SeaMonkey, Safari, and Chrome only). Features include: Pasting formatted text, e.g. from MS-Word (including tables) Converting the formatted text to wikicode; Wikicode syntax ...
Finding duplicate references by examining reference lists is difficult. There are some tools that can help: AutoWikiBrowser (AWB) will identify and (usually) correct exact duplicates between <ref>...</ref> tags. See the documentation. URL Extractor For Web Pages and Text can identify Web citations with the exact same URL but otherwise possibly ...
This means that anything you do with messages or folders in your account at mail.aol.com will also occur in the app (and vice versa). Below are the POP and IMAP server settings you'll need to use for AOL Mail and links to common email app setup instructions. If you need specific help configuring your app, contact its manufacturer.
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus.