Earticle

초록

영어

The purpose of this paper is to graphically represent semantic domain networks of maritime English near-synonyms as such displays can provide insights into semantic relations. A specialised corpus from international maritime communities was used. Keywords are extracted by comparing the Maritime English Corpus with the BNC Baby. Among keywords within the top 20 ranks, we focus on ship-vessel and maritime-marine. We use the MI3 score to identify collocates of the two pairs of near-synonyms and the Wmatrix web interface program to tag semantic domains. We create key semantic domain networks using the social network analysis tool NetMiner 4.0. The results show that some semantic domains are connected between the two pairs of near-synonyms, while others are not connected. The findings of the study indicate how semantic domain networks of keyword collocates and simple collocates help to distinguish near-synonyms through graphical representations of a corpus. The paper found that semantic domains with keyword collocates have a stronger tendency to connect two pairs of near-synonyms than those with simple collocates.

목차

ABSTRACT
 1. Introduction
 2. Language network studies
 3. The purpose of the study and research questions
 4. Data and methods
 5. Results and discussion
 6. Conclusion
 References

키워드

저자

• Se-Eun Jhang [ Korea Maritime and Ocean University ]
• Sung-Min Lee [ Korea Maritime and Ocean University ]
• Tony McEnery [ Lancaster University ]
• Vaclav Brezina [ Lancaster University ]
• Wenyu Lu [ Dalian Maritime University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  Corpus Linguistics Research

• 간기

  계간

• pISSN

  2465-812X

• 수록기간

  2015~2025

• 십진분류

  KDC 701 DDC 410