Determining the Multiword Expression Inventory of a Surprise Language

Bahar Salehi, Paul Cook, Timothy Baldwin


Abstract
Much previous research on multiword expressions (MWEs) has focused on the token- and type-level tasks of MWE identification and extraction, respectively. Such studies typically target known prevalent MWE types in a given language. This paper describes the first attempt to learn the MWE inventory of a “surprise” language for which we have no explicit prior knowledge of MWE patterns, certainly no annotated MWE data, and not even a parallel corpus. Our proposed model is trained on a treebank with MWE relations of a source language, and can be applied to the monolingual corpus of the surprise language to identify its MWE construction types.
Anthology ID:
C16-1046
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
Month:
December
Year:
2016
Address:
Osaka, Japan
Editors:
Yuji Matsumoto, Rashmi Prasad
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
471–481
Language:
URL:
https://aclanthology.org/C16-1046
DOI:
Bibkey:
Cite (ACL):
Bahar Salehi, Paul Cook, and Timothy Baldwin. 2016. Determining the Multiword Expression Inventory of a Surprise Language. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 471–481, Osaka, Japan. The COLING 2016 Organizing Committee.
Cite (Informal):
Determining the Multiword Expression Inventory of a Surprise Language (Salehi et al., COLING 2016)
Copy Citation:
PDF:
https://aclanthology.org/C16-1046.pdf
Data
Universal Dependencies