Simplifying Text in Medical Literature
Philippine Journals Online
View Archive Info| Field | Value | |
| Title |
Simplifying Text in Medical Literature
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| Creator |
Ethel Ong; College of Computer Studies, De La Salle University-Manila
Jerwin Damay; College of Computer Studies, De La Salle University-Manila Gerard Lojico; College of Computer Studies, De La Salle University-Manila Kimberly Lu; College of Computer Studies, De La Salle University-Manila Dex Tarantan; College of Computer Studies, De La Salle University-Manila |
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| Subject |
Computer Science
Text Simplification, Natural Language Processing, Readability Formula |
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| Description |
A text simplification system is developed that accepts as input a document written for college reading level, and converts it to high school reading level text using techniques in natural language processing. The achieved level of lexical and syntactic simplifications is dependent on the lexical and syntactic information stored in the system's knowledge sources. These knowledge sources can be updated when necessary, thus allowing the system to support varying input and output reading levels. Test results show that simplification can increase the reading ease score from as low 2.5% to a high 296%. Results also show that only 70% of the generated easier-to-read text will have a reading ease score higher than the original input sentence. Keywords: Text Simplification, Natural Language Processing, Readability FormulaDOI: 10.3860/jrsce.v4i1.441 Journal of Research in Science, Computing, and Engineering Vol.4(1) 2007 pp.37-47
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| Publisher |
De La Salle University-Manila
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| Contributor |
—
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| Date |
2008-07-18
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| Type |
Non-refereed item
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| Format |
application/pdf
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| Identifier |
http://www.philjol.info/index.php/JRSCE/article/view/441
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| Source |
Journal of Research in Science, Computing and Engineering; Vol 4, No 1 (2007); 37-48
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| Language |
en
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| Coverage |
Philippines
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