기름유출 관련 해양법영어코퍼스에서의 Wmatrix를 사용한 주요 의미영역 비교 분석
A Comparative Analysis of Key Semantic Domains Extracted from Maritime Law English Corpus Related with Oil Spill through the Use of Wmatrix
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The study aims to build a Maritime Law English Corpus related with oil spill, to comparatively analyze key semantic domains, and to explore similarities and differences among three subcorpora by using a network analysis. Key semantic domains are extracted from three different maritime law texts such as international public maritime law, international private maritime law, and agreements of maritime accidents through Wmatrix keyness analysis to compare each of three corpora with BNC Sampler Informative. We focus on key semantic domains shared with three subcorpora by using a Netminer 4.0 program. Compensation agreements for maritime accidents related with oil spill will be made with regard to international public maritime law and international private maritime law. Comparative analysis of maritime law texts will make a great contribution to corpus linguistics and will also provide fodder for identifying the differences and similarities between the similar laws through quantitative analysis.
Abstract
The study aims to build a Maritime Law English Corpus related with oil spill, to comparatively analyze key semantic domains, and to explore similarities and differences among three subcorpora by using a network analysis. Key semantic domains are extracted from three different maritime law texts such as international public maritime law, international private maritime law, and agreements of maritime accidents through Wmatrix keyness analysis to compare each of three corpora with BNC Sampler Informative. We focus on key semantic domains shared with three subcorpora by using a Netminer 4.0 program. Compensation agreements for maritime accidents related with oil spill will be made with regard to international public maritime law and international private maritime law. Comparative analysis of maritime law texts will make a great contribution to corpus linguistics and will also provide fodder for identifying the differences and similarities between the similar laws through quantitative analysis.
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