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Keyword Analysis of Maritime Legal Texts : Text-dispersion Approach
Guandong Zhang,Charmhun Jo,Se-Eun Jhang 한국코퍼스언어학회 2022 Corpus Linguistics Research Vol.7 No.2
The present study is based on a self-built Maritime English Law Corpus compared with BNC Baby as a reference corpus to explore some homogeneous features of four different maritime legal genres through the comparison of two different keyword analyses: corpus frequency-based keyword analysis and text dispersion-based keyword analysis. A comparison of keyword lists of four legal genres by using a cross-validation is also conducted to explore unique characteristics of each genre. The results show that two keyword methods generated both shared words and unshared words. According to the two criteria of keywords, we concluded that text dispersion-based keyword analysis is much better than traditional corpus frequency-based keyword analysis because the former meets both the content-distinctiveness of maritime-related keywords and the content-generalisability of law content keywords as well as showing more homogeneous maritime legal features than the latter.
Syntactic and Semantic Patterns of Domain-specific Lexical Bundles in Maritime Legal English
( Zhang Guandong ),( Se-eun Jhang ) 현대영미어문학회 2023 현대영미어문학회 추계학술대회 발표논문집 Vol.2023 No.-
Lexical bundles have always played an important role in describing the linguistic features of a language. As an English for specific purposes, maritime legal English has its own specialised patterns. However, there is little research focusing on the lexical bundles frequently used in different maritime legal genres. This present paper attempts to investigate frequently used lexical bundles in four maritime legal genres, namely case law, legal documents, legislation and academic legal articles, based on a self-built Maritime English Law Corpus. In this present study, the text dispersion-based keyword analysis proposed by Egbert and Biber (2019) will be used to extract domain-specific lexical bundles, as keywords serve as an efficient indicator of such lexical bundles according to Qi (2019). All 2- to 5-word lexical bundles uniquely used in four maritime legal genres will be extracted using WordSmith Tools 8.0 (Scott, 2020). In order to compare the differences in lexical keyword bundles between the four maritime legal English genres, four-word keyword bundles will be classified into VP-based bundles, NP-based bundles and PP-based bundles according to Chen and Baker's (2010) syntactic classification criteria. Furthermore, these lexical keyword bundles are analysed in terms of semantic preference and semantic prosody. Some examples are given to illustrate how the same lexical bundles are used semantically differently in general English BNC than in maritime English legal texts. The results reveal unique linguistic features specific to maritime legal texts, as well as implications for the study of formulaic language.