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：1Ver 2
出版社：Ayushmaan Technologies
摘要：Interesting change has come in Natural Language Processing (NLP) has seen in both research direction and methodology in the past several years. Increased work in computational linguistics tended to focus on purely symbolic methods. Now various work is shifting toward hybrid methods that combine new empirical corpus-based methods, including the use of probabilistic and information theoretic techniques, with traditional symbolic methods. Need of Natural Language Query Processing is for an English sentence to be interpreted by the computer and appropriate action taken. Question answering to any databases in natural language is a very convenient and easy method of data access, especially for casual users who do not understand complicated database query languages such as SQL So this paper proposes the architecture for translating English Query into SQL using Semantic Grammar
关键词：NLP; SQL; Query Optimisation; AI