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:
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/C16-1046.pdf
- Data
- Universal Dependencies