Accessible Unlicensed Requires Authentication Published by De Gruyter Mouton July 6, 2013

Inferring semantic maps

Terry Regier, Naveen Khetarpal and Asifa Majid
From the journal Linguistic Typology

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.

Published Online: 2013-07-06
Published in Print: 2013-06-15

© 2013 by Walter de Gruyter Berlin Boston