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Finite Matters

Verbal Features in Data-Driven Parsing of Swedish

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5221))

Abstract

This paper investigates the effect of a set of verbal features in data-driven dependency parsing of Swedish. Following an error analysis of a baseline parser, we show that the addition of information on verbal features such as tense and voice can give significant improvements over this baseline and, in particular, in the analysis of syntactic arguments. We furthermore show the importance of the binary property of finiteness for the parsing of Scandinavian and demonstrate that highly similar effects may be achieved with automatically acquired information.

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© 2008 Springer-Verlag Berlin Heidelberg

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Øvrelid, L. (2008). Finite Matters. In: Nordström, B., Ranta, A. (eds) Advances in Natural Language Processing. GoTAL 2008. Lecture Notes in Computer Science(), vol 5221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85287-2_47

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  • DOI: https://doi.org/10.1007/978-3-540-85287-2_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85286-5

  • Online ISBN: 978-3-540-85287-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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