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ESA is an unsupervised approach to word segmentation previously proposed by Wang, which is an iterative process consisting of three phases: Evaluation, Selection and Adjustment. In this article, we propose ExESA, the extension of ESA. In ExESA, the original approach is extended to a 2-pass process and the ratio of different word lengths is introduced as the third type of information combined with...
This article proposes two modifications of a new unsupervised method of word segmentation consisting of three phases: Evaluation, Selection, and Adjustment (ESA), which was presented in our early paper. Lowest Relative Value (LRV) is the core algorithm in ESA The whole method has only one parameter (the exponent in LRV) that can be approximately predicted by the empirical formulae. In this article,...
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