Surapant Meknavin

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This paper presents an algorithm for selecting an appropriate classifier word for a noun. In Thai language, it frequently happens that there is fluctuation in the choice of classifier for a given concrete noun, both from the point of view of the whole speech community and individual speakers. Basically, there is no exact rule for classifier selection. As(More)
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This paper presents an application of two machine learning algorithms, i.e., Winnow and RIPPER, and their comparison on the task of Thai named-entity identification. While most of previous works on this task are based on hand-coded rules, we use learning algorithms to help automate the development of named-entity system. Since Thai language has no explicit(More)
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