Junya Tsutsumi

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It is obvious that segmentation takes an important role in natural language processing(NLP), especially for the languages whose sentences are not easily separated into morphemes. In this study we propose a method of segmenting a sentence. The system described in this paper does not use any grammatical information or knowledge in processing. Instead, it uses(More)
This paper is on dividing non-separated language sentences (whose words are not separated from each other with a space or other separaters) into morphemes using statistical information, not grammatical information which is often used in NLP. In this paper we describe our method and experimental result on Japanese and Chinese se~,tences. As will be seen in(More)
This paper is on dividing non-separated language sentences (whose words are not separated from each other with a space or other separaters) into morphemes using statistical information, not grammatical information which is often used in NLP. In this paper we describe our method and experimental result on Japanese and Chinese sentences. As will be seen in(More)
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