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Uncovering Probabilistic Implications in Typological Knowledge Bases
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
The study of linguistic typology is rooted in the implications we find between linguistic features, such as the fact that languages with object-verb word ordering tend to have postpositions. Uncovering such implications typically amounts to time-consuming manual processing by trained and experienced linguists, which potentially leaves key linguistic universals unexplored. In this paper, we present a computational model which successfully identifies known universals, including Greenbergdoi:10.18653/v1/p19-1382 dblp:conf/acl/BjervaKCA19 fatcat:l635suxinrbxpejqsvkayccqvi