A Support Vector Machine Approach to Dutch Part-of-Speech Tagging

Mannes Poel; L. Stegeman; Hendrikus J.A. op den Akker

doi:10.1007/978-3-540-74825-0_25

A Support Vector Machine Approach to Dutch Part-of-Speech Tagging

Mannes Poel, L. Stegeman, Hendrikus J.A. op den Akker

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

9 Citations (Scopus)

9 Downloads (Pure)

Abstract

Part-of-Speech tagging, the assignment of Parts-of-Speech to the words in a given context of use, is a basic technique in many systems that handle natural languages. This paper describes a method for supervised training of a Part-of-Speech tagger using a committee of Support Vector Machines on a large corpus of annotated transcriptions of spoken Dutch. Special attention is paid to the decomposition of the large data set into parts for common, uncommon and unknown words. This does not only solve the space problems caused by the amount of data, it also improves the tagging time. The performance of the resulting tagger in terms of accuracy is 97.54%, which is quite good, where the speed of the tagger is reasonably good.

Original language	Undefined
Title of host publication	Advances in Intelligent Data Analysis VII. Proceedings of the 7th International Symposium on Intelligent Data Analysis, IDA 2007
Editors	M.R. Berthold, J. Shawe-Taylor, N. Lavrac
Place of Publication	London
Publisher	Springer
Pages	274-283
Number of pages	10
ISBN (Print)	978-3-540-74824-3
DOIs	https://doi.org/10.1007/978-3-540-74825-0_25
Publication status	Published - Sept 2007
Event	Advances in Intelligent Data Analysis VII. 7th International Symposium on Intelligent Data Analysis, IDA 2007 - Ljubljana, Slovenia Duration: 6 Sept 2007 → 8 Sept 2007

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Number	LNCS4549
Volume	4723
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Advances in Intelligent Data Analysis VII. 7th International Symposium on Intelligent Data Analysis, IDA 2007
Period	6/09/07 → 8/09/07
Other	6-8 Sept 2007

Keywords

EWI-11050
IR-61912
METIS-241907
HMI-CI: Computational Intelligence

Access to Document

10.1007/978-3-540-74825-0_25

http://eprints.eemcs.utwente.nl/secure2/11050/01/svmpos.pdf

Cite this

Poel, M., Stegeman, L., & op den Akker, H. J. A. (2007). A Support Vector Machine Approach to Dutch Part-of-Speech Tagging. In M. R. Berthold, J. Shawe-Taylor, & N. Lavrac (Eds.), Advances in Intelligent Data Analysis VII. Proceedings of the 7th International Symposium on Intelligent Data Analysis, IDA 2007 (pp. 274-283). Article 10.1007/978-3-540-74825-0_25 (Lecture Notes in Computer Science; Vol. 4723, No. LNCS4549). Springer. https://doi.org/10.1007/978-3-540-74825-0_25

Poel, Mannes ; Stegeman, L. ; op den Akker, Hendrikus J.A. / A Support Vector Machine Approach to Dutch Part-of-Speech Tagging. Advances in Intelligent Data Analysis VII. Proceedings of the 7th International Symposium on Intelligent Data Analysis, IDA 2007. editor / M.R. Berthold ; J. Shawe-Taylor ; N. Lavrac. London : Springer, 2007. pp. 274-283 (Lecture Notes in Computer Science; LNCS4549).

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abstract = "Part-of-Speech tagging, the assignment of Parts-of-Speech to the words in a given context of use, is a basic technique in many systems that handle natural languages. This paper describes a method for supervised training of a Part-of-Speech tagger using a committee of Support Vector Machines on a large corpus of annotated transcriptions of spoken Dutch. Special attention is paid to the decomposition of the large data set into parts for common, uncommon and unknown words. This does not only solve the space problems caused by the amount of data, it also improves the tagging time. The performance of the resulting tagger in terms of accuracy is 97.54%, which is quite good, where the speed of the tagger is reasonably good.",

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year = "2007",

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Poel, M, Stegeman, L & op den Akker, HJA 2007, A Support Vector Machine Approach to Dutch Part-of-Speech Tagging. in MR Berthold, J Shawe-Taylor & N Lavrac (eds), Advances in Intelligent Data Analysis VII. Proceedings of the 7th International Symposium on Intelligent Data Analysis, IDA 2007., 10.1007/978-3-540-74825-0_25, Lecture Notes in Computer Science, no. LNCS4549, vol. 4723, Springer, London, pp. 274-283, Advances in Intelligent Data Analysis VII. 7th International Symposium on Intelligent Data Analysis, IDA 2007, 6/09/07. https://doi.org/10.1007/978-3-540-74825-0_25

A Support Vector Machine Approach to Dutch Part-of-Speech Tagging. / Poel, Mannes; Stegeman, L.; op den Akker, Hendrikus J.A.
Advances in Intelligent Data Analysis VII. Proceedings of the 7th International Symposium on Intelligent Data Analysis, IDA 2007. ed. / M.R. Berthold; J. Shawe-Taylor; N. Lavrac. London: Springer, 2007. p. 274-283 10.1007/978-3-540-74825-0_25 (Lecture Notes in Computer Science; Vol. 4723, No. LNCS4549).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Poel M, Stegeman L, op den Akker HJA. A Support Vector Machine Approach to Dutch Part-of-Speech Tagging. In Berthold MR, Shawe-Taylor J, Lavrac N, editors, Advances in Intelligent Data Analysis VII. Proceedings of the 7th International Symposium on Intelligent Data Analysis, IDA 2007. London: Springer. 2007. p. 274-283. 10.1007/978-3-540-74825-0_25. (Lecture Notes in Computer Science; LNCS4549). doi: 10.1007/978-3-540-74825-0_25