Presentation | 2011-10-20 Comparison of the cultural difference detection methods using the multilingual version Wikipedia Takashi YOSHINO, Mai MIYABE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | There is a possibility that the misunderstanding is caused in multilingual communications, because people cannot understand enough other culture even when talking by using the same word. People should judge the presence of a cultural difference now. However, it is difficult to judge it because enough knowledge of other culture is necessary. We compare with the detection methods using the number of categorical items (method 1) and using the number of the name of country-and-language related words included in the content of each article (method 2) on multilingual version Wikipedia. From the result of the experiment, both methods can detect cultural difference about Japanese related articles. About Chinese related articles, the method 1 can detect cultural difference about 70%, the method 2 can detect cultural difference about 90%. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | cultural difference / multilingual communications / Wikipedia |
Paper # | AI2011-15 |
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Committee | AI |
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Conference Date | 2011/10/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Comparison of the cultural difference detection methods using the multilingual version Wikipedia |
Sub Title (in English) | |
Keyword(1) | cultural difference |
Keyword(2) | multilingual communications |
Keyword(3) | Wikipedia |
1st Author's Name | Takashi YOSHINO |
1st Author's Affiliation | Faculty of Systems Engineering, Wakayama University() |
2nd Author's Name | Mai MIYABE |
2nd Author's Affiliation | Center for Knowledge Structuring, The University of Tokyo |
Date | 2011-10-20 |
Paper # | AI2011-15 |
Volume (vol) | vol.111 |
Number (no) | 251 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |