Abstract
The reverse dictionary identifies a concept/idea/definition to words and phrases used to describe that concept. You can enter a single word, phrase, or a few words to get the correct meanings for that sentence. The proposed concepts similarity is applied using similarity for computing the relevancy between concepts verses and the documents or verses in English collections. Reverse Dictionary (RD) is a non alphabetic order dictionary. We present a set of algorithms and the results of a set of experiments showing the retrieval accuracy of our methods and the runtime response time performance of our implementation. Our experimental results show that our approach can provide significant improvements in performance scale without sacrificing the Quality of the result. Our experiments comparing the quality of our approach to that of currently available reverse dictionaries show that of our approach can provide significantly higher quality over either of the other currently available implementations.
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