Abstract
Improving the accuracy of dependency analysis in long Japanese sentences is a big nroblem in natural language analysis. Recently, there is a tendency to determine the dependency on the basis of a statistical probability by using the results of the analysis of a large amount of corpus. In this paper we research the dependency of adnominals which contain an I-adjective or NA-adjective using about 4400 sentences extracted from a large amount of technological documents and newspapers. To determine the dependency, we analyze the target sentences which include the adjective in the form of “[noun-1]+[adjective]+[noun-2]” considering the relationship of each word. As a result, we find seven effective dependency rules which are classified into the following three patterns:
determined only from preceding or following nouns.
determined from the relation between preceding or following nouns and adjective.
determined from the characteristic of adjective itself.
