Jump to ContentJump to Main Navigation
Show Summary Details
More options …

Linguistic Typology

Editor-in-Chief: Plank, Frans / 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

Online
ISSN
1613-415X
See all formats and pricing
More options …
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.

About the article


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.

Export Citation

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

Supplementary Article Materials

Comments (0)

Please log in or register to comment.
Log in