Abstract
In this paper, a new approach to the Part-of-Speech (PoS) tagging problem is proposed. The PoS tagging problem can be viewed as a special translation process where the source language is the set of strings being considered and the target language is the sequence of POS tags. In this work, we have used phrase-based machine translation technology to tackle the PoS tagging problem. Experiments on the Penn Treebank WSJ task were carried out and very good results were obtained.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Harris, Z.: String analysis of sentence structure. Mouton, The Hague (1962)
Brill, E.: A Simple Rule-Based Part-of-speech Tagger. In: Proceedings of the Third Conference on Applied Natural Language Processing, ANLP (1992)
Brants, T.: TnT – A Statistical Part-of-Speech Tagger. In: Proceedings of the Sixth Applied Natural Language Processing (ANLP-2000), Seattle, WA (2000)
Ratnaparkhi, A.: A Maximum Entropy Part-of.Speech Tagger. In: Proceedings of the 1st Conference on Empirical Methods in Natural Language Processing, EMNLP 1996 (1996)
Bender, O., Macherey, K., Och, F., Ney, H.: Comparison of Alignment Templates and Maximum Entropy Models for Natural Language Understanding. In: Proceedings of the 10th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2003 (2003)
Zens, R., Och, F., Ney, H.: Improvements in phrase-based statistical machine translation. In: Proceedings of the Human Language Technology Conference, HLT-NAACL’2004 (2004)
Klein, S., Simons, F.: A computational approach to grammatical coding of English words. Journal of the Association for Computing Machinery 10(3) (1963)
Greene, B., Rubin, M.: Automatic tagging of English. Technical report, Department of Linguistics, Providence, Rhode Island, 1071 (1962)
Weischedel, R., Schwartz, R., Palmucci, J., Meteer, M., Ramsaw, L.: Coping with ambiguity and unknown words trhough probabilistic models. Computational Linguistics 19(2) (1993)
Merialdo, B.: Tagging English text with a probabilistic model. Computational Linguistics 20(2) (1994)
Koehn, P., Och, F., Marcu, D.: Statistical phrase-based translation. In: Proceedings of the Human Language Technology Conference, HLT-NAACL’2003 (2003)
Marcus, M., Santorini, B., Marcinkiewicz, M.: Building a large annotated corpus of english: The Penn Treebank. Computational Linguistics 19(2) (1994)
Koehn, P.: Pharaoh: A beam search decoder for phrase-based statistical machine translation models. In: Frederking, R.E., Taylor, K.B. (eds.) AMTA 2004. LNCS (LNAI), vol. 3265, pp. 115–124. Springer, Heidelberg (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Gascó i Mora, G., Sánchez Peiró, J.A. (2007). Part-of-Speech Tagging Based on Machine Translation Techniques. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2007. Lecture Notes in Computer Science, vol 4477. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72847-4_34
Download citation
DOI: https://doi.org/10.1007/978-3-540-72847-4_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72846-7
Online ISBN: 978-3-540-72847-4
eBook Packages: Computer ScienceComputer Science (R0)