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the claim
Sentence information content is measured using information theory and entropy
the verdict
SUPPORTED
the evidence backs this
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the weight of evidence
3 sources for · 0 against

Sentence information content can be quantified using principles of information theory, where entropy and related metrics measure uncertainty and semantic value.

Evidence for · 3
Information Theory
1987 · cited by 3,542
Establishes the foundational principle that entropy serves as a direct measure of uncertainty and information content within communication systems.
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The analysis

The claim is specific, empirical, and directly supported by foundational and modern literature applying information theory and entropy to language and sentences.

More for · 2
Measuring Sentence Information via Surprisal: Theoretical and Clinical Implications in Nonfluent Aphasia
2023 · cited by 17
Applies information-theoretic measures such as surprisal and information content to evaluate sentence-level structures.
Semantic Communication: A Survey of Its Theoretical Development.
2024 · cited by 3
Discusses the theoretical development of semantic entropy and information measures applied to linguistic constructs.
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first checked04 Aug 2026
judged → SUPPORTED · 9704 Aug 2026
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