A Crosslinguistic Database for Combinatorial and Semantic Properties of Attitude Predicates

Deniz Özyıldız, Ciyang Qing, Floris Roelofsen, Maribel Romero, Wataru Uegaki


Abstract
We introduce a cross-linguistic database for attitude predicates, which references their combinatorial (syntactic) and semantic properties. Our data allows assessment of cross-linguistic generalizations about attitude predicates as well as discovery of new typological/cross-linguistic patterns. This paper motivates empirical and theoretical issues that our database will help to address, the sample predicates and the properties that it references, as well as our design and methodological choices. Two case studies illustrate how the database can be used to assess validity of cross-linguistic generalizations.
Anthology ID:
2023.sigtyp-1.7
Volume:
Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
Month:
May
Year:
2023
Address:
Dubrovnik, Croatia
Editors:
Lisa Beinborn, Koustava Goswami, Saliha Muradoğlu, Alexey Sorokin, Ritesh Kumar, Andreas Shcherbakov, Edoardo M. Ponti, Ryan Cotterell, Ekaterina Vylomova
Venue:
SIGTYP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
65–75
Language:
URL:
https://aclanthology.org/2023.sigtyp-1.7
DOI:
10.18653/v1/2023.sigtyp-1.7
Bibkey:
Cite (ACL):
Deniz Özyıldız, Ciyang Qing, Floris Roelofsen, Maribel Romero, and Wataru Uegaki. 2023. A Crosslinguistic Database for Combinatorial and Semantic Properties of Attitude Predicates. In Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP, pages 65–75, Dubrovnik, Croatia. Association for Computational Linguistics.
Cite (Informal):
A Crosslinguistic Database for Combinatorial and Semantic Properties of Attitude Predicates (Özyıldız et al., SIGTYP 2023)
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PDF:
https://aclanthology.org/2023.sigtyp-1.7.pdf
Video:
 https://aclanthology.org/2023.sigtyp-1.7.mp4