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We propose a novel framework for im- proving a word segmenter using informa- tion acquired from symbol grounding. We generate a term dictionary in three steps: generating a pseudo-stochastically seg- …...

AbstractIn recent years, there has been a surge of interest in natural language processing related to the real world, such as symbol grounding, language generation, and non-linguistic data search by …...