Ramisch, C., Ramisch, R., Zilio, L. et al. (2 more authors) (2018) A corpus study of verbal multiword expressions in Brazilian Portuguese. In: Villavicencio, A., Moreira, V., Abad, A., Caseli, H., Gamallo, P., Ramisch, C., Oliveira, H.G. and Paetzold, G.H., (eds.) PROFOR2018 : Computational Processing of the Portuguese Language. PROPOR: International Conference on Computational Processing of the Portuguese Language, 24-26 Sep 2018, Canela, Brazil. Springer International Publishing , pp. 24-34. ISBN 9783319997216
Abstract
Verbal multiword expressions (VMWEs) such as to make ends meet require special attention in NLP and linguistic research, and annotated corpora are valuable resources for studying them. Corpora annotated with VMWEs in several languages, including Brazilian Portuguese, were made freely available in the PARSEME shared task. The goal of this paper is to describe and analyze this corpus in terms of the characteristics of annotated VMWEs in Brazilian Portuguese. First, we summarize and exemplify the criteria used to annotate VMWEs. Then, we analyze their frequency, average length, discontinuities and variability. We further discuss challenging constructions and borderline cases. We believe that this analysis can improve the annotated corpus and its results can be used to develop systems for automatic VMWE identification.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2018 Springer Nature. This is an author-produced version of a paper subsequently published in PROPOR 2018. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Multiword expressions; Annotation; Corpus linguistics |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Jan 2020 14:54 |
Last Modified: | 21 Jan 2020 15:46 |
Status: | Published |
Publisher: | Springer International Publishing |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-99722-3_3 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:155717 |