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The algorithm attempts to find the same word, but in all its word endings. A fuzzy search will match a different word. Words (but not phrases) accept approximate string matching or "fuzzy search". A tilde ~ character is appended for this "sounds like" search. The other word must differ by no more than two letters. Not the first two letters.
Twine 2 is a browser-based application written in HTML5 and Javascript, also available as a standalone desktop app; it also supports CSS. [5] It is currently in version 2.9.0, as of June 2024. [1] Rather than using a fixed scripting language, Twine supports the use of different "story formats".
4. Click a button or its drop-down arrow (from left to right): • Select a font. • Change font size. • Bold font. • Italicize font. • Underline words. • Choose a text color. • Choose a background text color. • Change your emails format. • Add emoticons. • Find and replace text, clear formatting, or add the time.
Atom is a desktop application built using web technologies. [12] It is based on the Electron framework, which was developed for that purpose, and hence was formerly called Atom Shell. [13] Electron is a framework that enables cross-platform desktop applications using Chromium and Node.js. [14] [15]
[1] [2] It is commonly used with the yacc parser generator and is the standard lexical analyzer generator on many Unix and Unix-like systems. An equivalent tool is specified as part of the POSIX standard. [3] Lex reads an input stream specifying the lexical analyzer and writes source code which implements the lexical analyzer in the C ...
Midjourney is a generative artificial intelligence program and service created and hosted by the San Francisco-based independent research lab Midjourney, Inc. Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI's DALL-E and Stability AI's Stable Diffusion.
In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database.Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).
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