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Linguistic Typology

Founded by Plank, Frans

Editor-in-Chief: Koptjevskaja-Tamm, Maria

3 Issues per year


IMPACT FACTOR 2016: 0.304

CiteScore 2016: 0.53

SCImago Journal Rank (SJR) 2016: 0.629
Source Normalized Impact per Paper (SNIP) 2016: 1.234

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1613-415X
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Volume 17, Issue 1

Issues

Inferring semantic maps

Terry Regier / Naveen Khetarpal / Asifa Majid
Published Online: 2013-07-06 | DOI: https://doi.org/10.1515/lity-2013-0003

Abstract

Semantic maps are a means of representing universal structure underlying semantic variation. However, no algorithm has existed for inferring a graph-based semantic map from cross-language data. Here, we note that this open problem is formally identical to the known problem of inferring a social network from disease outbreaks. From this identity it follows that semantic map inference is computationally intractable, but that an efficient approximation algorithm for it exists. We demonstrate that this algorithm produces sensible semantic maps from two existing bodies of data. We conclude that universal semantic graph structure can be automatically approximated from cross-language semantic data.

This article offers supplementary material which is provided at the end of the article.

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Published Online: 2013-07-06

Published in Print: 2013-06-15


Citation Information: Linguistic Typology, Volume 17, Issue 1, Pages 89–105, ISSN (Online) 1613-415X, ISSN (Print) 1430-0532, DOI: https://doi.org/10.1515/lity-2013-0003.

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© 2013 by Walter de Gruyter Berlin Boston. Copyright Clearance Center

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[1]
Thanasis Georgakopoulos and Stéphane Polis
Language and Linguistics Compass, 2018, Volume 12, Number 2, Page e12270

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