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In this paper, we describe our system used in the InterBEST 2009 Thai Word Segmentation Shared Task. Our system is based on a word and character-cluster hybrid model which can effectively handle both known and unknown words. In addition, our model can be integrated with simple strategies for reducing annotation inconsistencies. Experimental results on in-domain and out-of-domain test data sets show the effectiveness of our system.