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Cited by 414Neurobiology of Language and Bilingualismlinguistics and terminology studiesNatural Language Processing Techniques

Semantic diversity: A measure of semantic ambiguity based on variability in the contextual usage of words

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Hoffman, Paul, Lambon Ralph, Matthew A., Rogers, Timothy T.·2013·Behavior Research Methods
DOI 10.3758/s13428-012-0278-x
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Abstract

Semantic ambiguity is typically measured by summing the number of senses or dictionary definitions that a word has. Such measures are somewhat subjective and may not adequately capture the full extent of variation in word meaning, particularly for polysemous words that can be used in many different ways, with subtle shifts in meaning. Here, we describe an alternative, computationally derived measure of ambiguity based on the proposal that the meanings of words vary continuously as a function of their contexts. On this view, words that appear in a wide range of contexts on diverse topics are more variable in meaning than those that appear in a restricted set of similar contexts. To quantify this variation, we performed latent semantic analysis on a large text corpus to estimate the semantic similarities of different linguistic contexts. From these estimates, we calculated the degree to which the different contexts associated with a given word vary in their meanings. We term this quantity a word's semantic diversity (SemD). We suggest that this approach provides an objective way of quantifying the subtle, context-dependent variations in word meaning that are often present in language. We demonstrate that SemD is correlated with other measures of ambiguity and contextual variability, as well as with frequency and imageability. We also show that SemD is a strong predictor of performance in semantic judgments in healthy individuals and in patients with semantic deficits, accounting for unique variance beyond that of other predictors. SemD values for over 30,000 English words are provided as supplementary materials.

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  • Atrophy in the left anterior temporal lobe is associated with increased word frequency in patients with FTD.

    “previous studies have shown that atrophy in this region is associated with increased word frequency in patients with FTD. 35 , 44 , 55 , 56”

    From Automatic classification of AD pathology in FTD phenotypes using natural speech (2024) · cites this paper as [35]

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Authors
Hoffman, P., Lambon Ralph, M. A., & Rogers, T. T.
Affiliations
  • University of Manchester (GB)
  • University of Wisconsin–Madison (US)
Corresponding author
Hoffman, Paul
ORCID
Venue
Behavior Research Methods
Publisher
Springer Science and Business Media LLC
Published
2012-12-13
Volume
45
Issue
3
Pages
718-730
ISSN
  • 1554-351X (ISSN-L)
  • 1554-3528
DOI
10.3758/s13428-012-0278-x
OpenAlex
W2106872048
Cited by
414
References
50
Citations by year
2026: 30 · 2025: 37 · 2024: 39 · 2023: 48 · 2022: 61 · 2021: 45 · 2020: 43 · 2019: 27 · 2018: 25 · 2017: 14 · 2016: 22 · 2015: 7 · 2014: 10 · 2013: 2 · 2012: 2
FWCI
3.60
Type
journal article
Language
en
Open access
Licence
www.springer.com/tdm (tdm)
Locations
  • Behavior Research Methods (publishedVersion)
  • PubMed (publishedVersion)
  • Research Explorer (The University of Manchester) (submittedVersion, other-oa)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
Funders
  • National Institute for Health and Care Research (NF-SI-0510-10272)
  • Medical Research Council (G0501632, MR/J004146/1)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
  • Social Sciences › Arts and Humanities › Language and Linguistics › linguistics and terminology studies
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
Keywords
semantic diversity, semantic ambiguity, polysemy, context-dependent word meaning, latent semantic analysis, word frequency, imageability, semantic judgment, semantic deficits
MeSH terms
Adult, Aged, Aged, 80 and over, Aphasia, Humans, Judgment, Language, Middle Aged, Models, Psychological, Psycholinguistics, Regression Analysis, Semantics

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