Building Chinese Request Pattern Graphs for Chinese-Korean Translation
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초록
This paper aims to describe diverse request patterns in Chinese for the automatic classification and the Chinese-Korean translation of music-request sentences in AI assistant platforms. These patterns are formalized by Local-Grammar Graphs (LGGs), a finite-state grammar, and represented under directed acyclic graphs based on the main function categories. The UNITEX graph editor has been used to construct Chinese LGGs, and the request pattern tags that are proposed for Korean sentences based on DECO Korean Electronic dictionaries was applied. The result of this study has been examined and evaluated by comparison with Google Translate results at the end of the paper. Experimental results prove that the LGG grammar constructed in this paper can effectively cover and annotate various request patterns. This will provide the possibility to generate a large-scale bilingual annotation corpus in the field of music listening.
Abstract
This paper aims to describe diverse request patterns in Chinese for the automatic classification and the Chinese-Korean translation of music-request sentences in AI assistant platforms. These patterns are formalized by Local-Grammar Graphs (LGGs), a finite-state grammar, and represented under directed acyclic graphs based on the main function categories. The UNITEX graph editor has been used to construct Chinese LGGs, and the request pattern tags that are proposed for Korean sentences based on DECO Korean Electronic dictionaries was applied. The result of this study has been examined and evaluated by comparison with Google Translate results at the end of the paper. Experimental results prove that the LGG grammar constructed in this paper can effectively cover and annotate various request patterns. This will provide the possibility to generate a large-scale bilingual annotation corpus in the field of music listening.
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