Volume 9, Issue 2, September 2014, Pages 297–306
Umair Shafique1 and Haseeb Qaiser2
1 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
2 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
It was highly desirable for a machine to interact more friendly with the users so that the field of Natural Language Processing (NLP) emerged and Natural Language Interface to Databases (NLIDBs) systems are built and design. A major problem faced by the users of the data bases is that the databases generally make use of special purpose languages familiar only to the trained users like Structured Query Language (SQL). Natural Language Interface to Databases provides the interface in which queries are written in the form Natural Language. These queries are passed through the machine, machine translates these queries. There are different levels of it, after passing these levels machine produce relevant results. This paper will provides comprehensive understanding about Natural Language Processing and Natural Language Interface to Databases.
Author Keywords: Machine Translation, Semantic, Pattern, Query, Lexical, Linguistic.
Umair Shafique1 and Haseeb Qaiser2
1 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
2 Department of Information Technology, University of Gujrat, Gujrat, Pakistan
Original language: English
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
It was highly desirable for a machine to interact more friendly with the users so that the field of Natural Language Processing (NLP) emerged and Natural Language Interface to Databases (NLIDBs) systems are built and design. A major problem faced by the users of the data bases is that the databases generally make use of special purpose languages familiar only to the trained users like Structured Query Language (SQL). Natural Language Interface to Databases provides the interface in which queries are written in the form Natural Language. These queries are passed through the machine, machine translates these queries. There are different levels of it, after passing these levels machine produce relevant results. This paper will provides comprehensive understanding about Natural Language Processing and Natural Language Interface to Databases.
Author Keywords: Machine Translation, Semantic, Pattern, Query, Lexical, Linguistic.
How to Cite this Article
Umair Shafique and Haseeb Qaiser, “A Comprehensive Study on Natural Language Processing and Natural Language Interface to Databases,” International Journal of Innovation and Scientific Research, vol. 9, no. 2, pp. 297–306, September 2014.
