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dc.contributor.authorChen, Ruey-Jinng
dc.contributor.authorKuo, Chin-Hwa
dc.contributor.authorTsao, Nai-Lung
dc.contributor.authorHung, Tsung-Fu
dc.date.accessioned2009-06-02T07:07:04Z
dc.date.accessioned2020-05-25T06:47:43Z-
dc.date.available2009-06-02T07:07:04Z
dc.date.available2020-05-25T06:47:43Z-
dc.date.issued2009-01-03T09:13:49Z
dc.date.submitted2009-01-03
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/11043-
dc.description.abstractThe purpose of this paper is to design a syntax search system and to apply it to a movie search system. The concepts applied include those in the field of linguistics and collocation, to increase the speed of the syntax search system. First, we must process the keywords in the database by labeling them according to their part of speech. From the results of the process, we will construct a K-gram index and Collocation index.In this proposal we bring out a few examples of common English syntax rules and sentence structures as test models. After the run through, the K-gram index and the Collocation index are compared. We have found that part of the sentence, after having gone through the Collocation index search, has a far smaller sample space that the K-gram index alone, which is to say that the Collocation index is able to find the most correct result from fewer samples, thus minimizing the time cost in Query Match.
dc.description.sponsorship淡江大學,台北縣
dc.format.extent7p.
dc.relation.ispartofseries2008 ICS會議
dc.subjectPOS tagging
dc.subjectLemmatizing
dc.subjectCollocation
dc.subjectk-gram
dc.subjectIndexing
dc.subject.otherDigital Content
dc.titleImproving the Syntax-based Retrieval System Using Collocation Indexing
分類:2008年 ICS 國際計算機會議

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