HPSG 기반 한국어 문생성과 STYLE 자질
HPSG-based Generation for Korean Sentences and STYLE Features
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HPSG (Head-driven Phrase Structure Grammar), a typical unification-based grammar, has proved itself to be a solid foundation for computational implementation, in terms of both parsing and generation. In particular, generation holds a significant position in recent grammar engineering using HPSG. This paper aims to try to generate Korean sentences on the basis of the Korean Resource Grammar (KRG), which is a computational grammar constructed for last several years within the HPSG framework using LKB (Linguistic Knowledge Builder). This paper, to begin with, gives an overall explanation of natural language generation, and then takes two major stages of generation into account; surface realizer and discourse planner. Building upon the fundamentals, this paper proposes how to generate Korean sentences from logical forms (Minimal Recursion Semantics, MRS), and how to choose the results in accordance with stylish properties (STYLE). The whole process has been implemented into computational systems as well, in order to check out its feasibility. The parsing module that this research employs is the PET parser, and the generation module is the LKB system. (Univ. of Washington)
Abstract
HPSG (Head-driven Phrase Structure Grammar), a typical unification-based grammar, has proved itself to be a solid foundation for computational implementation, in terms of both parsing and generation. In particular, generation holds a significant position in recent grammar engineering using HPSG. This paper aims to try to generate Korean sentences on the basis of the Korean Resource Grammar (KRG), which is a computational grammar constructed for last several years within the HPSG framework using LKB (Linguistic Knowledge Builder). This paper, to begin with, gives an overall explanation of natural language generation, and then takes two major stages of generation into account; surface realizer and discourse planner. Building upon the fundamentals, this paper proposes how to generate Korean sentences from logical forms (Minimal Recursion Semantics, MRS), and how to choose the results in accordance with stylish properties (STYLE). The whole process has been implemented into computational systems as well, in order to check out its feasibility. The parsing module that this research employs is the PET parser, and the generation module is the LKB system. (Univ. of Washington)
참고문헌 (20)
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