SYSTEM AND METHOD FOR ANALYZING STRUCTURE OF PASSIVE AND CAUSATIVE SENTENCE

摘要

PURPOSE: A passive and causative sentence structure analysis system and method is provided to enhance the case information determination performance by using the case frames, and to reduce the case frame number. CONSTITUTION: The system comprises a morpheme analyzer(10), a sentence normalizer(20), an active type case frame(30), a case frame converter(40), a case frame applicator(50), and a sentence structure analysis tree generator(60). The morpheme analyzer(10) analyzes the morphemes of an input passive or causative type sentence written in Hangul. The sentence normalizer(20) converts the morpheme analysis result into an active type sentence. The active type case frame(30) determines the case information based on the sentence normalization result of the sentence normalizer(20). The case frame converter(40) automatically converts auxiliary words and verb conjugations of the active type sentence into those of corresponding passive or causative type sentence for generating a passive or causative type conversion case frame. The case frame applicator(50) compares the morpheme analysis result with the conversion case frame, compares the sentence normalization result with the active type case frame, gives a weighting factor to a case frame according to a comparison result, and determines the case frame with the highest weighting factor as a final case frame. The sentence structure analysis tree generator(60) determines the case information based on the final case frame, analyzes the input passive or causative type sentence, and generates a sentence structure analysis result.