An Analysis On Language Fuzziness From The Aspect Of Gradience

The fuzziness of nature languages is widespread in daily life, but most of us are accustomed to neglect. The aim of this dissertation is to discover the reasons and process of fuzziness from a relatively new angle-Gradience, by means of Serial Relationship and Cluster Analysis. There are two types of Gradience:Subsective Gradience (SG) and Intersective Gradience (IG). SG allows for a particular element x from category a to be closer to the prototype of a than some other element y from the same category, and recognize a core and periphery within the same class of language. We discuss the relationship between prototypes and periphery members within verbs, nouns, adjectives and sort out the regular patterns and manifestations of the Gradience. IG involves two categories a and β, and obtain where there exits a set γ of elements characterized by a subset of α-like properties and a subset of β-like properties. Classes a and β are said to coverage by virtue of the fact that there exit elements which display properties of both categories. We analyze the attributes transfer between verbs and many other word classes (nouns, adjectives, propositions/conjunctions), then find out why do they converge and how do they transfer between categories. The adoption of Gradience Theory opens up a new way for grammar research and English teaching. In addition, the approach of Gradience Theory is of high significance with regard to artificial intelligence, lexicography and many other fields.