MeDict:基于Damerau-Levenshtein距离算法的健康词典应用

Wiwi Clarissa, F. P. Putri
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引用次数: 1

摘要

印刷错误经常发生。这可能是由于打字时的机械错误或遗漏的手或手指造成的。一些人对如何正确拼写的无知也会导致印刷错误。字典应用程序的开发由各方进行,从而使字典中的搜索过程变得更加高效。然而,当排版错误发生时,没有单词搜索优化。搜索过程中的排版错误可能导致无法找到所查找的信息。Damerau-Levenshtein Distance算法用于在出现排版错误时提供搜索建议。本研究旨在使用Damerau-Levenshtein距离算法设计并构建一个健康词典应用程序MeDict。技术接受模型(TAM)用于评估应用程序。结果是86.2%的人强烈同意该应用程序是有用的,86.9%的人强烈同意该应用程序可以很容易地使用。
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MeDict: Health Dictionary Application Using Damerau-Levenshtein Distance Algorithm
Typographical error often happens. It can occur due to mechanical errors or missed hands or fingers when typing. Someone's ignorance of how to spell correctly also can cause typographical errors. Dictionary application development has been carried out by various parties so that the searching process in the dictionary becomes more efficient. However, there is no word search optimization when the typographical error happens. Typographical errors in the searching process can result in the information sought cannot be found. The Damerau-Levenshtein Distance algorithm implemented to provide search suggestions when a typographical error occurs. This research aims to design and build a health dictionary application, MeDict, using the Damerau-Levenshtein Distance algorithm. Technology Acceptance Model (TAM) used to evaluate the application. The result is 86.2% stating strongly agree that the application can be useful and 86.9% stating strongly agree that the application can be used easily.
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