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Further Results on Syntactic Ambiguity of Internal Contextual Grammars

  • Lakshmanan Kuppusamy
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4002)

Abstract

Ambiguity plays an important role in checking the relevances of formalism for natural language processing. As contextual grammars were shown to be an appropriate description for natural languages, analyzing syntactic ambiguity of contextual grammars deserves a special attention. The levels of ambiguity of internal contextual grammars are defined depending on the information used for describing a derivation. In this paper, we continue the study on ambiguity of internal contextual grammars which was investigated in [3] and [13]. We achieve solutions to the following open problems addressed in the above papers. For each (i,j) ∈{(2,1),(1,0),(0,1)}, are there languages which are inherently i-ambiguous with respect to grammars with arbitrary selector, but j-ambiguous with respect to grammars with finite selector?

Keywords

Natural Language Open Problem Natural Language Processing Control Sequence Arbitrary Choice 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Lakshmanan Kuppusamy
    • 1
  1. 1.School of Technology and Computer ScienceTata Institute of Fundamental ResearchMumbaiIndia

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