文章基本信息

标题：Query Optimisation using Natural Language Processing
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作者：Ashish Tamrakar ; Deepty Dubey
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：1
页码：307-310
语种：English
出版社：Ayushmaan Technologies
摘要：Interesting change has come in Natural Language Processing(NLP) has seen in both research direction and methodology inthe past several years. Increased work in computational linguisticstended to focus on purely symbolic methods. Now various work isshifting toward hybrid methods that combine new empirical corpusbased methods, including the use of probabilistic and informationtheoretic techniques, with traditional symbolic methods. Need ofNatural Language Query Processing is for an English sentenceto be interpreted by the computer and appropriate action taken.Question answering to any databases in natural language is avery convenient and easy method of data access, especially forcasual users who do not understand complicated database querylanguages such as SQL So this paper proposes the architecture fortranslating English Query into SQL using Semantic Grammar.