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Bootstrapping an Unsupervised Morphemic Analysis

  • Christoph Benden
Conference paper
  • 1.6k Downloads
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Unsupervised morphemic analysis may be divided into two phases: 1) Establishment of an initial morpheme set, and 2) optimization of this generally imperfect first approximization. This paper focuses on the first phase, that is the establishment of an initial morphemic analysis, whereby methodological questions regarding ‘unsupervision’ will be touched on. The basic algorithm for segmentation employed goes back to Harris (1955). Proposals for the antecedent transformation of graphemic representations into (partial) phonemic ones are discussed as well as the postprocessing step of reapplying the initially gained morphemic candidates. Instead of directly using numerical (count) measures, a proposal is put forward which exploits numerical interpretations of a universal morphological assumption on morphemic order for the evaluation of the computationally gained segmantations and their quantitative properties.

Keywords

Word Type Vowel Length Unsupervised Analysis Source Token Sparse Data Problem 
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

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Copyright information

© Springer Berlin · Heidelberg 2006

Authors and Affiliations

  • Christoph Benden
    • 1
  1. 1.Department of Linguistics — Linguistic Data ProcessingUniversity of CologneCologne

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