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Glossary

Terms used in accessibility research and practice. Each entry has a definition, common aliases, and category tags.

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Chemical Markup Language(also: CML)
An XML-based markup language for representing chemical information including molecular structures, reactions, spectra, and other chemical data in a machine-readable format. CML encodes atoms, bonds, and molecular properties in a structured text format that can be processed by…
Clustering Algorithm(also: Cluster Analysis, Unsupervised Clustering, K-means)
A clustering algorithm is an unsupervised machine-learning technique that groups similar data points together based on a distance or similarity measure, without needing pre-labelled training data. Common algorithms include K-means, PAM (Partitioning Around Medoids), CLARA…
Corpus(also: Language Corpus, Text Corpus, British National Corpus)
A corpus is a large, structured collection of texts used to train, tune, or evaluate language-processing systems. Representative examples include the British National Corpus (BNC, 100 million words of British English), the Penn Treebank, and more recently Common Crawl and…
Crowdsourcing
The practice of gathering information, data, or contributions from a large group of distributed participants, typically via the internet. In accessibility, crowdsourcing platforms like Wheelmap and AccessTogether allow users to rate and report the accessibility of physical…

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