지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
The purpose of this paper is to explore and then visualize collocational networks of the most frequent maritime English synonyms through network analysis. To achieve this goal, we used WordSmith Tools to extract keywords from the Maritime English Corpus (MECO) Ⅱ and then we compared them with a general English corpus, the British National Corpus Baby. We discuss two pairs of near-synonyms: maritime-marine and ship-vessel from among very highly frequent keywords in the MECO Ⅱ. We used Mutual Information 3 to discover significant collocations in order to find collocational patterns. The meanings of collocates of near-synonyms were grouped in several semantic fields. In order to explore language networks of maritime vocabularies, we used the social network analysis tools, NetMiner and UCINET. We found that collocates of near-synonyms were quite different. After we extended our work to all collocations, we found that the entire network of all collocations also shows distributions and characteristics similar to those of our target networks.
목차
1. Introduction
2. Literature Review for Language Network and Its Visualization
3. Data and Methodology
4. Visualization of Collocational Networks
5. Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2015-700-001068671