Corpus linguistics in language and sexuality studies

2022 ◽  
pp. 41-63
Author(s):  
Heiko Motschenbacher
2018 ◽  
Vol 7 (2) ◽  
pp. 145-174 ◽  
Author(s):  
Heiko Motschenbacher

Abstract As an introduction to the special issue, this paper presents an overview of previous corpus linguistic work in the field of language and sexuality and discusses the compatibility of corpus linguistic methodology with queer linguistics as a central theoretical approach in language and sexuality studies. The discussion is structured around five prototypical aspects of corpus linguistics that may be deemed problematic from a poststructuralist, queer linguistic perspective: quantification and associated notions of objectivity, reliance on linguistic forms and formal presence, concentration on highly frequent features, reliance on categories, and highlighting of differences. It is argued that none of these aspects rules out an application of corpus linguistic techniques within queer theoretically informed linguistic work per se and that it is rather the way these techniques are employed that can be seen as more or less compatible with queer linguistics. To complement the theoretical discussion, a collocation analysis of sexual descriptive adjectives in the Corpus of Contemporary American English (COCA) is conducted in an attempt to address some of the issues raised. The concluding section makes suggestions for future research.


Author(s):  
Douglas Biber ◽  
Susan Conrad ◽  
Randi Reppen
Keyword(s):  

2020 ◽  
Vol 14 (2) ◽  
pp. 75
Author(s):  
Eska Perdana Prasetya ◽  
Anita Dewi Ekawati ◽  
Deni Sapta Nugraha ◽  
Ahmad Marzuq ◽  
Tiara Saputri Darlis

<span lang="EN-GB">This research is about Corpus Linguistics, Language Corpora, And Language Teaching. As we know about this science is relatively new and is associated with technology. There are several areas discussed in this study such as several important parts of the corpus, the information generated in the corpus, four main characteristics of the corpus, Types of Corpora, Corpora in Language Teaching, several types that could be related to corpus research, Applications of corpus linguistics to language teaching may be direct or indirect. The field of applied linguistics analyses large collections of written and spoken texts, which have been carefully designed to represent specific domains of language use, such as informal speech or academic writing.</span>


Corpora ◽  
2017 ◽  
Vol 12 (3) ◽  
pp. 339-367 ◽  
Author(s):  
Alan Partington

In this paper, I want to examine the special relevance of (non)obviousness in corpus linguistics through drawing on case studies. The research discussion is divided into two parts. The first is an examination of (non)obviousness at the micro-level, that is, in lexico-grammatical analyses, whilst the second looks at the more macro-level of (non)obviousness on the plane of discourse. In the final sections, I will examine various types of non-obvious meaning one can come across in Corpus-assisted Discourse Studies (CADS), which range from: ‘I knew that all along (now)’ to ‘that's interesting’ to ‘I sensed that but didn't know why’ (intuitive impressions and corpus-assisted explanations) to ‘I never even knew I never knew that’ (serendipity or ‘non-obvious non-obviousness’, analogous to ‘unknown unknowns’).


Corpora ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 121-124
Author(s):  
Maria Carolina Zuppardi
Keyword(s):  

Author(s):  
Ryan Ka Yau Lai ◽  
Youngah Do

This article explores a method of creating confidence bounds for information-theoretic measures in linguistics, such as entropy, Kullback-Leibler Divergence (KLD), and mutual information. We show that a useful measure of uncertainty can be derived from simple statistical principles, namely the asymptotic distribution of the maximum likelihood estimator (MLE) and the delta method. Three case studies from phonology and corpus linguistics are used to demonstrate how to apply it and examine its robustness against common violations of its assumptions in linguistics, such as insufficient sample size and non-independence of data points.


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