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공기 명사에 기초한 의미/개념 연관성의 네트워크 구성Constructing Networks of Related Concepts Based on Co-occurring Nouns
- Other Titles
- Constructing Networks of Related Concepts Based on Co-occurring Nouns
- Authors
- 강범모
- Issue Date
- 2010
- Publisher
- 한국어의미학회
- Keywords
- 어휘관계(lexical relation); 관련어(related word); 연관성(relatedness); 공기(co-occurrence); 연어(collocation); t-점수(t-score); 코퍼스(corpus); 세종말뭉치(Sejong Korean Corpora); Pajek; 개념(concept); 문화(culture); 네트워크(network); 어휘관계(lexical relation); 관련어(related word); 연관성(relatedness); 공기(co-occurrence); 연어(collocation); t-점수(t-score); 코퍼스(corpus); 세종말뭉치(Sejong Korean Corpora); Pajek; 개념(concept); 문화(culture); 네트워크(network)
- Citation
- 한국어 의미학, v.32, pp.1 - 28
- Indexed
- KCI
- Journal Title
- 한국어 의미학
- Volume
- 32
- Start Page
- 1
- End Page
- 28
- ISSN
- 1226-7198
- Abstract
- A method of constructing a network of related words(nouns) is proposed. We start with discussing the significance of relatedness of words as a kind of lexical relation. Related nouns are nouns "somehow (felt) related" and proposed to be found by acquiring nouns occurring in the same paragraph to a significant degree. The degree of co-occurrence is measured by t-score, which is a widely used method for calculating the degree of collocation. The networks of related words(nouns) are themselves the networks of things and concepts denoted by the words. Therefore, by this method we can understand features of culture in the society, a language community. The data is based on morpho-semantic analysis component of Sejong Korean Corpora. Network representation is provided by means of Pajek, a popular network analysis tool.
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