Bootstrapping an Unsupervised Morphemic Analysis
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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.
KeywordsWord Type Vowel Length Unsupervised Analysis Source Token Sparse Data Problem
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