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Chinese word segmentation ambiguity can be divided into two categories: overlapped ambiguity and combinational ambiguity. This paper only focuses on the resolution to combinational ambiguity of Chinese word segmentation. We select 36 typical combinational ambiguity strings, and make use of transformation-based learning methods to learn the rules of combinational ambiguity. Using these rules to test...
The similarity between words is used for word clustering. In spectral clustering algorithms, the information contained in the eigenvectors of an affinity matrix is used to detect the similarity. Compared with traditional clustering methods, spectral clustering performs much better for clustering the words especially in multidimensional vector spaces. the spectral clustering is implemented by Visual...
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