A comparative evaluation of a new unsupervised sentence boundary detection approach on documents in english and portuguese

  • Authors:
  • Jan Strunk;Carlos N. Silla, Jr.;Celso A. A. Kaestner

  • Affiliations:
  • Sprachwissenschaftliches Institut, Ruhr-Universität Bochum, Bochum, Germany;Pontifical Catholic University of Paraná, Curitiba, Brazil;Pontifical Catholic University of Paraná, Curitiba, Brazil

  • Venue:
  • CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
  • Year:
  • 2006

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Abstract

In this paper, we describe a new unsupervised sentence boundary detection system and present a comparative study evaluating its performance against different systems found in the literature that have been used to perform the task of automatic text segmentation into sentences for English and Portuguese documents. The results achieved by this new approach were as good as those of the previous systems, especially considering that the method does not require any additional training resources.