Unsupervised Learning of Word Boundary with Description Length Gain

  • Chunyu Kityz, Yorick Wilksz
  • Published 1999

Abstract

This paper presents an unsupervised approach to lexical acquisition with the goodness measure description length gain (DLG) formulated following classic information theory within the minimum description length (MDL) paradigm. The learning algorithm seeks for an optimal segmentation of an utterance that maximises the description length gain from the… (More)

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@inproceedings{Kityz1999UnsupervisedLO, title={Unsupervised Learning of Word Boundary with Description Length Gain}, author={Chunyu Kityz and Yorick Wilksz}, year={1999} }