A statistical approach to language translation
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Segmenting sentences into linky strings using d-bigram statistics
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
A gradual refinement model for a robust thai morphological analyzer
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Combined word-spacing method for disambiguating korean texts
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
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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 the body of this paper, the result shows that this system is efficient for most of the sentences.