Research And Application Of Intelligent Search Interface Technology Based On Natural Language Processing

With the explosive growth of Internet information, today's era has become the era of the information. Not only information retrieval technology has become gradually maturing, but also the tools of information retrieval-search engine are increasingly. But using search engines to search information do not always make the customer satisfied. On one hand, it can not cover all the pages on the Internet for any search engine. On the other hand, because of the factors of the search engine itself, it can not understand the exact semantics of the users'correctly, so that the user's search requirements is not satisfied. In addition, with the users increasing every year, people across all walks of life and age ranging from young to old, and the methods of using the search engines are not proper, and this will lead to users could not retrieve useful information. Therefore, there are more and more scholars to research on search engine technology, and the ultimate purpose is to enable the search engine more convenient. As a scientific research plan of Hebei Province education department, this research is based on natural language of intelligent interface technology to study, and is used in higher arts education network. It is majoring in processing of natural language and using speech for input.The topic is to develop a search engine for art web searching. The following work is the key job of the subject: 1) Data acquisition. It mainly collect the web page in the web and analysis of the content of the web, moreover it also need to extract the useful information. Then store the title, text and other useful information of the page into a database. In the collecting process of Web pages, it used noise reduction methods in the Web page, and extracted useful information such as title and content of the page that stored into the database, it will lay the foundation for the later subsequent retrieval. 2) Using voice input to search information. Voice input could allows the retrieval process more comfortable. Taking voice recognition technology into the search engine will not only bring more flexible to the users in using search engine, but also make part of the special groups(such as hand disabled persons)use search engine to retrieving information. In the course of the study, there are two different methods to trying and designing. After the designing of the speech recognition there is an accepting accuracy recognition results through continuous speech training, and judges with other speech engine. 3) Natural language processing. The subject design and study mainly from the searching of question sentences and redirecting two aspects to making the system's search engine has a higher using value and evaluated the advantages and disadvantages of the engine through experimental.