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Efficiently Matching with Local Grammars Using Prefix Overlay Transducers

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 4783)

Abstract

Prefix Overlay Transducers (POTs) are effective filters on the search space of Local Grammars (LG, [1]) which are used for searching on large corpora that are annotated with linguistic features, such as part-of-speech tags or other syntactic or semantic annotations.

Keywords

  • Semantic Annotation
  • Linguistic Feature
  • Query Pattern
  • Soft Factor
  • Graph Call

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Gross, M.: Lexicon-Grammar And The Syntactic Analysis Of French. In: Proc. COLING 1984, pp. 275–282 (1984)

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  2. Liang, F.M.: Word Hyphenation by Computer. Ph.D. thesis, Stanford (1983)

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  3. Paumier, S.: Weak Greibach Normal of Recursive Transition Networks. In: Proc. Journées Montoises d’Informatique Théorique (2004)

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  4. Woods, W.A.: Transition network grammars for natural language analysis. Comm. ACM 13(10), 591–606 (1970)

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© 2007 Springer-Verlag Berlin Heidelberg

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Marschner, C. (2007). Efficiently Matching with Local Grammars Using Prefix Overlay Transducers. In: Holub, J., Žďárek, J. (eds) Implementation and Application of Automata. CIAA 2007. Lecture Notes in Computer Science, vol 4783. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76336-9_32

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  • DOI: https://doi.org/10.1007/978-3-540-76336-9_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76335-2

  • Online ISBN: 978-3-540-76336-9

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