Thesaurus¶
While some works called "thesauri", such as Roget's Thesaurus, group words in a hierarchical hypernymic taxonomy of concepts, others are organised alphabetically or in some other way.
Core Idea¶
Thesaurus is treated here as the recurring computer science and information systems identity summarized by this source-grounded definition: While some works called "thesauri", such as Roget's Thesaurus, group words in a hierarchical hypernymic taxonomy of concepts, others are organised alphabetically or in some other way. A thesaurus (: thesauri or thesauruses), sometimes called a synonym dictionary or dictionary of synonyms, is a reference work which arranges words by their meanings (or in simpler terms, a book where one can find different words with similar meanings to other words), sometimes as a hierarchy of broader and narrower.
Scope of Application¶
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History. It has been continuously in print since 1852 and remains widely used across the English-speaking world.
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Information science and natural language processing. Thesauri are used in natural language processing for word-sense disambiguation and text simplification for machine translation systems.
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Documented setting. They are often used by writers to help find the best word to express an idea.
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Documented setting. The word 'thesaurus' was used in 1852 by Peter Mark Roget for his Roget's Thesaurus.
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Etymology. The word "thesaurus" comes from Latin thēsaurus, which in turn comes from Ancient Greek (thēsauros) 'treasure, treasury, storehouse'.
Clarity¶
A clear use of Thesaurus names the carrier, the operative relation, and the conditions under which the source treats the identity as present. The minimal definition is While some works called "thesauri", such as Roget's Thesaurus, group words in a hierarchical hypernymic taxonomy of concepts, others are organised alphabetically or in some other way.
Manages Complexity¶
Thesaurus compresses multiple computer science and information systems details into a stable diagnostic relation. The source shows both the central mechanism—thesauri are used in natural language processing for word-sense disambiguation and text simplification for machine translation systems.—and the practical consequence—the word 'thesaurus' was used in 1852 by Peter Mark Roget for his Roget's Thesaurus.
Abstract Reasoning¶
- Type the carrier. Identify the computer science and information systems entities to which the claim applies.
- State the relation. Use the source-grounded identity: While some works called "thesauri", such as Roget's Thesaurus, group words in a hierarchical hypernymic taxonomy of concepts, others are organised alphabetically or in some other way.
- Check operation and conditions. The book starts with a Tabular Synopsis of Categories laying out the hierarchy, then the main body of the thesaurus listed by the Head, and then an alphabetical index listing the.
Knowledge Transfer¶
Within the home domain. Knowledge about Thesaurus transfers literally when a new case preserves the same carrier type, relation, and recognition test. It has been continuously in print since 1852 and remains widely used across the English-speaking world. Thesauri are used in natural language processing for word-sense disambiguation and text simplification for machine translation systems. Beyond the home domain. No canonical parent is asserted for Thesaurus. An outside case receives the specialist name only when the same typed roles and rejection conditions can be filled literally; otherwise the comparison remains an analogy pending later graph densification.
Neighborhood in Abstraction Space¶
Thesaurus sits in a sparse region of the domain-specific corpus (88th percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely.
Family — Unclustered & Miscellaneous (2551 abstractions)
Nearest neighbors
- Numerical taxonomy — 0.81
- Referring expression — 0.80
- Polysynthetic language — 0.80
- Data element — 0.80
- Discourse Relation — 0.80
Computed from structural-signature embeddings · 2026-10-08