Intelligent Natural Language Interface for web-based information retrieval

This paper deals with the design of Natural Language Interface for Web-based information Retrieval. In this model, natural language query is analysed for understanding its meaning and depending on its meaning, the most relevant documents are retrieved from the World Wide Web. The proposed algorithm is based on Statistical machine learning. Natural Language text is converted to more formal representation such as First-Order Predicate Logic structure because, it is easier for computer programs to manipulate. The aim of this work is to provide interactive interface for the search engine to enhance its effectiveness for information retrieval.