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<!DOCTYPE html><html><head><meta name="viewport" content="width=device-width"/><meta charSet="utf-8"/><title>Text Encoding Initiative</title><script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script><script id="MathJax-script" async="" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script><script type="text/x-mathjax-config">
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</script><meta name="next-head-count" content="6"/><link rel="preload" href="/wiki/_next/static/css/52fc2ba29703df73922c.css" as="style"/><link rel="stylesheet" href="/wiki/_next/static/css/52fc2ba29703df73922c.css" data-n-g=""/><noscript data-n-css=""></noscript><link rel="preload" href="/wiki/_next/static/chunks/main-ae4733327bd95c4ac325.js" as="script"/><link rel="preload" href="/wiki/_next/static/chunks/webpack-50bee04d1dc61f8adf5b.js" as="script"/><link rel="preload" href="/wiki/_next/static/chunks/framework.9d524150d48315f49e80.js" as="script"/><link rel="preload" href="/wiki/_next/static/chunks/commons.0e1c3f9aa780c2dfe9f0.js" as="script"/><link rel="preload" href="/wiki/_next/static/chunks/pages/_app-8e3d0c58a60ec788aa69.js" as="script"/><link rel="preload" href="/wiki/_next/static/chunks/940643274e605e7596ecea1f2ff8d83317a3fb76.4841a16762f602a59f00.js" as="script"/><link rel="preload" href="/wiki/_next/static/chunks/pages/%5B%5B...slug%5D%5D-1aa198f87ede1cd0e1dc.js" as="script"/></head><body><div id="__next"><main><h1>Text Encoding Initiative</h1><section class="post-metadata"><span>Date: <!-- -->2020-04-12 13:07:20 +08:00</span><span>Date modified: <!-- -->2021-06-19 14:45:10 +08:00</span></section><nav class="toc"><ol class="toc-level toc-level-1"></ol></nav><p>Having your research stored as text files written in a lightweight markup language is great.
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However, certain information can still get lost in the way.
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For example, certain words like "London" can either mean the famous capital of England, a city in France, or certain people with the name.
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You can find similar situations with Wikipedia disambiguation pages (like the <a href="https://en.wikipedia.org/wiki/London_(disambiguation)">previous example</a>).
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</p><p><a href="https://tei-c.org/">Text Encoding Initiative</a> (TEI) attempts to solve exactly that.
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It's a standard that focuses on the semantic meaning of the words.
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Being a standard, it also frees the writers from software dependency and developers have to follow it instead.
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</p><p>The specification uses XML for markup and there are <a href="https://wiki.tei-c.org/index.php/Category:Tools">various tools</a> for creating TEI-specific contents aside from the already existing ecosystem of XML-related tools.
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It can also export into various formats through <a href="https://github.com/TEIC/Stylesheets">XSLT 2.0 stylesheets</a> including HTML, LaTeX, and JSON files.
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