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A Japanese Language Model with Quote Detection by Using Surface Information

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2 Author(s)
Gonzalez, M.M. ; Kyushu Inst. of Technol., Iizuka ; Nomura, H.

In natural language processing, quotes are an important grammatical category which needs consideration. In this paper, we propose a Japanese language model that includes quotes as a category. The quotes are recognized by using surface information and dependencies between the words. Then, they are divided into direct and indirect speech. Finally, we extract the quotes and create a relation between them and the original text. After the text has been analyzed, we obtain a tree structure with all the elements hierarchically categorized. We have experimentally tested the accuracy of the parsing process by creating a prototype system. The results show a 67.29% overall correct quote detection.

Published in:

Artificial Intelligence, 2008. MICAI '08. Seventh Mexican International Conference on

Date of Conference:

27-31 Oct. 2008