소셜 미디어 텍스트의 의존명사 내포 비정규토큰의 부분문법그래프 패턴 사전 구축
Constructing Local Graph Dictionaries to Analyze Non-standard Tokens that Contain Bound Nouns
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초록
This paper aims to construct local graph dictionaries to analyze non-standard tokens that contain bound nouns. These tokens, abundant in social media texts, are not properly analyzed by standard morphological analyzers of Korean. Many Non-standard tokens occur due to spacing errors, spelling mistakes or newly coined words in online social media texts. Among non-standard token types, those that contain monosyllabic bound nouns are particularly problematic, which requires linguistically accurate pattern-dictionaries to analyze them. In this study, we present how to construct linguistic resources by using LGG formalism and DECO Korean dictionary to treat these irregular patterns and we evaluate the performance of the pattern-dictionaries proposed in this study.
Abstract
This paper aims to construct local graph dictionaries to analyze non-standard tokens that contain bound nouns. These tokens, abundant in social media texts, are not properly analyzed by standard morphological analyzers of Korean. Many Non-standard tokens occur due to spacing errors, spelling mistakes or newly coined words in online social media texts. Among non-standard token types, those that contain monosyllabic bound nouns are particularly problematic, which requires linguistically accurate pattern-dictionaries to analyze them. In this study, we present how to construct linguistic resources by using LGG formalism and DECO Korean dictionary to treat these irregular patterns and we evaluate the performance of the pattern-dictionaries proposed in this study.
참고문헌 (20)
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