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Features and Tags

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From Data to Knowledge
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Summary

In many natural language processing systems (NLP—systems) the analysis of linguistic data starts with the identification of word classes (tagging). This paper describes the knowledge—based tagger FTAG which was developed as part of a system for the acquisition of syntactic knowledge from corpora.

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References

  • GARSIDE, R., LEECH, G. & SAMPSON, G. (1987): The Computational Analysis of English. Longman, London and New York.

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  • NAUMANN, S., SCHREPP J. (1992): An empirical approach to syntax learning. In: G.Görz (ed.), Konvens 92. Springer-Verlag: Berlin/Heidelberg, 209–17.

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  • POLLARD, C., SAG, I. (1987): Information-Based Syntax and Semantics. Volume I: Fundamentals. Stanford University Press, CSLI Lecture Notes 13.

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  • SCHOTT, G., (1978): Automatische Deflexion deutscher Wörter unter Verwendung eines Minimalwörterbuchs. In: Sprache und Datenverarbeitung 2, 67–77.

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  • SCHULZ, C. (1993): Wissensbasierte Identifikation von Wortarten. Unpublished M.A. thesis, University of Trier

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© 1996 Springer-Verlag Berlin · Heidelberg

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Naumann, S. (1996). Features and Tags. In: Gaul, W., Pfeifer, D. (eds) From Data to Knowledge. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79999-0_36

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  • DOI: https://doi.org/10.1007/978-3-642-79999-0_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60354-2

  • Online ISBN: 978-3-642-79999-0

  • eBook Packages: Springer Book Archive

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