Research On The Collocation Dependency Language Networks Of Relative Word In Chinese Complex Sentences And It’s Application Basic On Complex Networks

Complex Networks is a new method to study complex systems from a global perspective, no matter how complex the structure of the network and how large size of the system, the nodes and edges are two basic elements to study complex network systems that are based on.A complex network has become a powerful tool to study complex science and system, which has a strong interdisciplinary research features. Currently, the complex network research and application not only has penetrated into all disciplines of mathematics, physics, computer science, chemistry, biology and engineering technology, and also has been widely used in social, politics, military, medicine, economics, management and languages at all levels and fields.Dependency is the core of dependent analysis, a binary relationship of the words in a sentence. We consider dominant word as the core word, the word referred to as dependent. Dependency is the main element of dependency grammar, which reveals the syntactic structure through dependencies analysis between the components within the language unit and reflects the dependent relationship between the core words and dependent.Human language is one of main methods to help people communicate with each other which are also evolving along with the progress of mankind. Many scholars consider human language as a complex networks in complex human systems after extensive research. Language Network becomes a new field of complex networks and gains rapid development.The main contents of this paper include:1) In this paper we study and research the relationship between words in Complex sentence term relationship ontology through theory and research methods of complex network and interdependent analysis.First, we construct a collocation of relative word in Chinese complex sentences (RWCDB) within 457 collocations of the words in it.2) The collocation of relative word plays the important role in the Chinese complex sentences, and it’s the connection which connects the sub-clauses and shows the semantic relation between them. However, we find that many relative words sometimes act as the function of relative words, sometimes don’t. It’s especially difficult to recognize whether the word is the relative word. In response, we propose an approach to deal with this hard problem. Firstly, we construct a collocation formula to judge whether the labeled pairs of relative words have the collocation relationship based on computing the characteristic information and collocation condition in the complex sentences. Secondly, we provide a solution space tree to indicate the all labeled collocation relative words in complex sentences, and use the pruning method to cut the invalid collocation. Finally, through the experiment results we find that the approach is correct and feasible.3)on the basis of RWCDB, we construct a dependency language network of the collocation of relative words in Chinese complex sentences which has 457 relative words collection nodes. What’s more, we study the small-world characteristics and scale characteristics of the collection language network.4) We apply decency analysis method to study the collocation of relative word in Chinese complex sentences language network from the body of collocation of relative word in Chinese complex sentences. The collection and embodies a kind of dependency relationship between words. Dependency-relationship exits between pre-calling words and corresponding words. Actually, the network we construct is a dependent collocation of relative word in Chinese complex sentences language network. This article focuses on path dependency characteristic length, the average path length dependent feature, dependence characteristics, features, and dependence on the average dependency polymerization characteristics,average polymerization-dependent characteristics of the network in detail, and calculates a series of related basic dependency characteristic value.5) Based on the analysis of "path dependency length value", this paper developed a "dependency path length criterion" and then on the basis of the guidelines, developed a " Automatic Identification of complex sentence term relationship based on dependency path length relationship Standards "and complex sentence term relationship based on dependency path length criterion collocation recognition algorithm, and a complex sentence term relationship based on dependency path length criterion of the relationship with the automatic recognition software. In order to verify the validity of the software, we selected 1000 labeled compound sentences experimental results from CCCS corpus and accuracy rate of the software is more than 90%.This study helps to improve recall Web search engines, precision and speed of search, and also helps to improve the level of machine translation, development of computational linguistics and Chinese information process, raises the level of Chinese Language Teaching in primary and secondary schools and Chinese foreign teaching. Direct effect of outcome in this paper is to lay the foundation for the computer reorganization and the method of dealing with the complex hierarchy of sentences and to lay foundation for Chinese discourse major problem.