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Entropy as an Indicator of Context Boundaries: An Experiment Using a Web Search Engine

  • Kumiko Tanaka-Ishii
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3651)

Abstract

Previous works have suggested that the uncertainty of tokens coming after a sequence helps determine whether a given position is at a context boundary. This feature of language has been applied to unsupervised text segmentation and term extraction. In this paper, we fundamentally verify this feature. An experiment was performed using a web search engine, in order to clarify the extent to which this assumption holds. The verification was applied to Chinese and Japanese.

Keywords

Search Engine Boundary Detection Indexing Strategy Word Boundary Word Segmentation 
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 2005

Authors and Affiliations

  • Kumiko Tanaka-Ishii
    • 1
  1. 1.Graduate School of Information Science and TechnologyUniversity of Tokyo 

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