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Please use this identifier to cite or link to this item:
http://asiair.asia.edu.tw/ir/handle/310904400/3868
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| Title: | Building a Chinese Classical Poetry Diagnostic Expert System |
| Authors: | lin ching pin |
| Contributors: | Department of Information Science and Applications |
| Date: | 2007 |
| Issue Date: | 2009-11-17 11:54:22 (UTC+0) |
| Publisher: | Asia University |
| Abstract: | Tang Poetry was the great literary creation of culture of five thousand years in
China. Not only stressed the meaning that the characters represented, but also pay
attention to grace and antithesis of the rules and forms carefully and neatly. The
characters of the Tang Poetry used archaic Chinese, the difference of the writings in the
vernacular that people use was great with now. There is a problem about the rhyme of
the characters, and it is enough to influence judging the exactness of the rules and
forms.
When creating the poetry it should be understands vast and elusive knowledge, not
only merely express the creator's emotion in the limited characters, but also accord with
the rigorous rules and forms and antithesis requirement. As a result of the rules, forms
and antithesis are required; it makes a lot of people loath to create the poetry, and
shackle the learning passion.
Expert System is the main idea of the thesis. We analyze the poetry that user input,
whether the poetry is accord with the strict rules and forms, then output the comments
that based on the analysis. We propose a Chinese Classical Poetry Diagnostic Scheme
(CCPDS) with 3-stage methodology to diagnose the poetry which goes by the rules,
forms and antithesis requirement: (1) Stage 1: Knowledge Acquisition, we retrieve the
knowledge rules, forms and antithesis from the book; (2) Stage 2: Knowledge-Based
Construction, we input the rules, forms and antithesis operating with inference engine
to construct the Chinese Classical Poetry Diagnostic Expert System; (3) Stage 3:
Experiment Verification, to test the correction of the CCPDS, we input several
poetries, then survey the result of the system output with domain expertise. |
| Appears in Collections: | [行動商務與多媒體應用學系] 博碩士論文
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