The Retrieval System Based On Mongolian Tagging Corpus

With the development of computer and network technology, to obtain useful information from mass data resources become the focus of attention. Under the background, The information retrieval technology has been developing rapidly. Information retrieval is the process that finding the required documents from the collection of information resources or finding information contain in the content of the required documents. There are many kinds of information resources, corpus is one of the resources. Corpus is the resources that the electronic computer is carrier and bearing language knowledge. Faced with huge amounts of corpus, it is hard to imagine that artificial find information will cost much time and energy. As a result, corpus retrieval tools is vital for the processing of corpus.This article mainly designed and implemented retrieval system based on the Mongolian tagging corpus. The system has a common query, advanced query, mark query and multi-category words query function, also increased the English version, data input and output, multi-category words processing, sample display, modify key words and words of sorting function. These functions is very helpful for Mongolian lexical study. Through testing, this paper retrieval system’s overall performance is good,it can be applied to the corpus processing work, and can be more than one user share it at the same time.