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Gender and Usage in the Units of Spoken Discourse
Michael Barlow,Vaclav Brezina 한국코퍼스언어학회 2018 Corpus Linguistics Research Vol.4 No.-
In this article we examine gender differences in the spoken usage using a selection of files from the British National Corpus (BNC). Our aim is twofold. First, to report on some similarities and differences in the words and phrases used by men and women in conversation. Secondly, we address some methodological issues related to the study of gender and to corpus linguistics research in general. In particular, we aim to address what we call the “bag of words, bag of people’ problem. In many studies a corpus is treated as a bag of words in common techniques such as a keyword analysis. Such frequency-based analyses have led to many discoveries about the nature of language, but the backgrounding of discourse and text structure is problematic in obscuring some patterns of language usage. In addition, corpora are necessarily compiled using the language output of many individuals---a bag of people---and the individual contributions, and hence variation in usage, are often overlooked. These issues are explored with reference to some linguistic elements known to potentially sensitive to gender variation.
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Semantic Domain Network Analysis of Maritime English Near-Synonyms
Se-Eun Jhang,Sung-Min Lee,Tony McEnery,Vaclav Brezina,Wenyu Lu 한국코퍼스언어학회 2017 Corpus Linguistics Research Vol.3 No.-
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.
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