Abstract
A widespread assumption about the analysis of inflection features is that this task is to be performed by a tagger with an extended tagset. This typically leads to a POS precision drop due to the data-sparseness problem. In this paper we tackle this problem by addressing inflection tagging as a dedicated task, separated from that of POS tagging. More specifically, this paper describes and evaluates a rule-based approach to the tagging of Gender, Number and Degree inflection of open nominal morphosyntactic categories. This approach achieves a better F-measure than the typical approach of inflection analysis via stochastic state-of-the-art tagging.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Branco, A., Silva, J.: Evaluating Solutions for the Rapid Development of State-of-the-Art POS Taggers for Portuguese. In: Proceedings of the 4th Language Resources and Evaluation Conference (LREC), pp. 507–510 (2004)
Brants, T.: TnT—A Statistical Part-of-Speech Tagger. In: Proceedings of the 6th Applied Natural Language Conference (ANLP), pp. 224–231 (2000)
Hajič, J., Hladká, B.: Probabilistic and Rule-based Tagger of an Inflective Language: A Comparison. In: Proceedings of the 5th ANLP, pp. 111–118 (1997)
Manning, C., Schütze, H.: Foundations of Statistical Natural Language Processing. The MIT Press, Cambridge (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Branco, A., Silva, J.R. (2006). Dedicated Nominal Featurization of Portuguese. In: Vieira, R., Quaresma, P., Nunes, M.d.G.V., Mamede, N.J., Oliveira, C., Dias, M.C. (eds) Computational Processing of the Portuguese Language. PROPOR 2006. Lecture Notes in Computer Science(), vol 3960. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751984_31
Download citation
DOI: https://doi.org/10.1007/11751984_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34045-4
Online ISBN: 978-3-540-34046-1
eBook Packages: Computer ScienceComputer Science (R0)