Functional Expansion of Morphological Analyzer Based on Longest Phrase Matching For Efficient Korean Parsing

Lee, Hyeon-yoeng; Lee, Jong-Seok; Kang, Byeongdo; Seungweon, Yang

doi:10.9728/dcs.2016.17.3.203

Cited by 2 publications

(1 citation statement)

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“…Other systems perform the function of searching for documents or paragraphs including keywords that the user inputs [4]. However, existing systems do not understand documents efficiently because they just show keywords or paragraphs [5][6][7]. In order to efficiently understand a document, if a user inputs a keyword then, the system must search for paragraphs including that keyword and extract them [8], [9].…”

Section: Introductionmentioning

confidence: 99%

Main keyword comparison based on document analysis system

Lee

Jung

2020

IJEECS

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<p>Existing document analysis systems list words in the document using a morpheme analyzer. Such a structural feature is difficult to help users to understand the document. To understand a document, you need to analyze the keyword in the document and extract the paragraphs including the keyword. The proposed system retrieves keywords from documents written in XML format, extracts them, and displays them to the user. In addition, it extracts the paragraphs including the keyword entered by the user and maintains paragraph sequence and delete for duplicate paragraphs. Then, the frequency and weight of the keyword are calculated, and the number of paragraphs is reduced by removing the paragraphs including the keyword having a weight less than other keywords weighed. This method may reduce the time and effort required for the user to understand the document as compared to the existing document analysis systems.</p>

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