Uncovering Probabilistic Implications in Typological Knowledge Bases

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Dokumenter

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 Greenberg universals, but also uncovers new ones, worthy of further linguistic investigation. Our approach outperforms baselines previously used for this problem, as well as a strong baseline from knowledge base population.
OriginalsprogEngelsk
TitelProceedings of the 57th Annual Meeting of the Association for Computational Linguistics
ForlagAssociation for Computational Linguistics
Publikationsdato2019
Sider3924–3930
DOI
StatusUdgivet - 2019
Begivenhed57th Annual Meeting of the Association for Computational Linguistics - Florence, Italien
Varighed: 1 jul. 20191 jul. 2019

Konference

Konference57th Annual Meeting of the Association for Computational Linguistics
LandItalien
ByFlorence,
Periode01/07/201901/07/2019

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