An Application of a Semantic Framework for the Analysis of Chinese Sentences

Analyzing the semantic representations of 10000 Chinese sentences and describing a new sentence analysis method that evaluates semantic preference knowledge, we create a model of semantic representation analysis based on the correspondence between lexical meanings and conceptual structures, and relations that underlie those lexical meanings. We also propose a semantical argument-head relation that combines ‘basic conceptual structure’ and ‘HeadDriven Principle’. With this framework which is different from Fillmore’s case theory (1968) and HPSG among other, we can successfully disambiguate some troublesome sentences, and minimize the redundancy in language knowledge description for natural language processing.