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In Japanese sentences, commas play an important role in explicitly separating the constituents, such as words and phrases, of a sentence. The method can be used as an elemental technology for natural language generation such as speech recognition and machine translation, or in writing-support tools for non-native speakers. We categorized the usages of commas and investigated the appearance tendency of each category. In this method, the positions where commas should be inserted are decided based on a machine learning approach. 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