Abstract:

Since natural language was introduced to the computer retrieval system, it has been favored by users, due to its freedom from restrictions of professional experience, knowledge background, and retrieval experience. As the title of the Chinese literature greatly reflects its content, it embodies the central idea.
Retrieval methods of natural language described in this article only refers to subject indexing in literature title. The basic idea of this method is automatically indexing the literature titles and natural language that is used in retrieval. To control the definition of a given keyword, namely, meaning transformation, it will
produce the final indexing words. Then, using the vector space model, an “or” operation wil be conducted on the index data , resulting in a document set B. Another automatic indexing will be performed on each document title in set B. The indexing terms thus produced will be used for a similarity calculation with the natural language indexing terms. The documents in set B will then be arranged as per the level of similarity,and the ones that meet the best retrieval requirements will be presented to users. This method is a simple and practical method of natural language retrieval.

Key words: Automatic indexing, Natural language retrieval, Methods