Enhancing Scalable Database-Driven Reverse Dictionary
Priyanka Nanaware1, Rahul Ambekar2
1Priyanka Nanaware, Research Scholar, Department of Computer Engineering, Sighgad Institute of Technology, Lonavala, Maharashtra, India.
2Rahul Ambekar, Asst. Prof. Department of Computer Engineering, Sighgad Institute of Technology, Lonavala, Maharashtra, India.
Manuscript received on May 24, 2014. | Revised Manuscript received on June 15, 2014. | Manuscript published on June 30, 2014. | PP: 286-289 | Volume-3, Issue-5, June 2014. | Retrieval Number: E3243063514/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Contrasting a traditional Forward Dictionary which convert word to their meaning ,we express design and implementation of reverse dictionary, a reverse dictionary return a set of candidate words that assure the input phrase, that input phrase concerning the desired idea. in current paper , we here a set of algorithms and the results of a set of experiment showing the retrieval accurateness of our methods and the runtime response time performance of our completion. This effort has Major useful for general public those who work closely with word also in general field of conceptual search. Our conduct experiment judge against the quality of the result to currently available implementations of reverse dictionary also to provide major improvements in performance level.
Keywords: Dictionaries, Search process, Web-based services, Reverse mapping.