The Surface Semantic Analysis Of Modern Chinese Verbs

Natural Language Understanding nearly began together with thebirth of computers. Studies of Natural Language Understandingstarted relatively early abroad, and began in the mid-1980s in ourcountry. Naturally studies of natural language can't be done wellwithout the study of verbs. In certain meaning, we can say that verbsare cores of sentences,other compositions are related with them.There are a lot of works on studies of verbs in our country at present,but the researches are oriented to people, but not to machine mainly.Even in the work "Big Dictionary of verbs" edited by Lu Chuan andetc., which is machine-oriented, verbs are not described with formalsemantics. So we can't utilize these to process natural language incomputer. Therefore, it is very essential to analyse and formalizesemantics of modern Chinese verbs. The ccomputational model of natural language is a generalChinese understanding system. The model divides the course ofnatural language into three levels: linguistic form, surface semanticsand deep semantics, and has put forward a new grammar to describethe Chinese language——Semantic Structure Grammar(SSG). Therules of SSG describe Chinese sentences with formal syntax andformal semantics, and transform sentences into their surfacesemantics directly. Using the material of the RDM of January 1998mark corpus, in this paper I make a statistical investigation onsentential modes of modern Chinese according to main verbs in thesentences. I analyse the surface semantics of central verbs in everymodes, and set up their SSG rules based on Chinese semantic casesystem in "Big Dictionary of verbs".