Study Of Chinese Multi-Repeat Sentences Hierarchy Based On The Relationship Words

With the rapid development of computer technology, computational linguistics Chinese information processing as an important branch of information technology in the process of building our country has played a pivotal role. The main study of Chinese information processing now have word processing aspects of word processing, which deals with aspects of the process and discourse sentence terms. At present, China in word processing and word processing, already has a large number of research results, but also have a very good practical application.But for a period of study treatment and processing segment to be strengthened.More repeat sentences usually composed of several clauses, which, as an important part of Chinese grammar, It semantic meaning in Chinese is very rich and diverse, so much repeat sentences analysis and processing in natural language processing is now the most common and very difficult stage, so now become the focus of Chinese research information. Where the relationship between words is an important bridge to connect between each clause, now is the word for the study of the relationship between an emerging issue.This study focuses on the multi-repeated sentence is inside the hierarchy, it is a complex hierarchy analysis and identification process more logical relationship based on some combination of hierarchy based. Based on the relationship between the words in an important position Sentences, the paper firstly Sentences rules for automatic identification of the relationship between words, in this section will be introduced to identify the relationship between the words used in the rules table, and how these rules table can form into machine recognition method.Sentences of relations based on words, we use context-free grammar formally sentence for multiple repeat statements. Knowing the relationship between the words in front of the complex sentence, rear position belongs hierarchical structure of our analysis of the necessary resources, so we will use the rules tables and relationships the words in the specific location of each clause to determine its front and rear Ministry. Finally, we can take advantage of the improved shift-reduce parsing algorithm has been processed by means of a good relationship between the words in the sentence to be analyzed more repeat hierarchy. In order to better show the results of our study, we obtained according to the hierarchy can be formalized as a hierarchical tree relationship, in order to express the connection between the relative clause and hierarchical composition.