Lexical Distributions and Electronic Literacy: A Corpus Linguistic Analysis of Textual Richness

2009 ◽  
Author(s):  
Ishan S. Puri
Keyword(s):  
Linguistic Analysis ◽  
Electronic Literacy ◽  
Corpus Linguistic

scholarly journals The potentialities of corpus-based techniques for analyzing literature

2020 ◽  
Vol 1 (2) ◽  
pp. 28
Author(s):  
Khalid Shakir Hussein
Keyword(s):  
Linguistic Analysis ◽  
Literary Texts ◽  
Basic Question ◽  
Literary Language ◽  
Corpus Linguistic ◽  
As I Lay Dying ◽  
Analytical Potential ◽  
The Waves ◽  
The Way

This paper presents an attempt to explore the analytical potential of five corpus-based techniques: concordances, frequency lists, keyword lists, collocate lists, and dispersion plots. The basic question addressed is related to the contribution that these techniques make to gain more objective and insightful knowledge of the way literary meanings are encoded and of the way the literary language is organized. Three sizable English novels (Joyc's Ulysses, Woolf's The Waves, and Faulkner's As I Lay Dying) are laid to corpus linguistic analysis. It is only by virtue of corpus-based techniques that huge amounts of literary data are analyzable. Otherwise, the data will keep on to be not more than several lines of poetry or short excerpts of narrative. The corpus-based techniques presented throughout this paper contribute more or less to a sort of rigorous interpretation of literary texts far from the intuitive approaches usually utilized in traditional stylistics.

Multi-dimensional register classification using bigrams

2007 ◽  
Vol 12 (4) ◽  
pp. 453-478 ◽  
Author(s):  
Scott Crossley ◽  
Max M. Louwerse
Keyword(s):  
Factor Analysis ◽  
Linguistic Analysis ◽  
Data Driven ◽  
Four Dimensions ◽  
Corpus Linguistic ◽  
Data Driven Approach ◽  
Spatial Discourse

A corpus linguistic analysis investigated register classification using frequency of bigrams in nine spoken and two written corpora. Four dimensions emerged from a factor analysis using bigram frequencies shared across corpora: (1) Scripted vs. Unscripted Discourse, (2) Deliberate vs. Unplanned Discourse, (3) Spatial vs. Non-Spatial Discourse, and (4) Directional vs. Non-Directional Discourse. These findings were replicated in a second analysis. Both analyses demonstrate the strength of bigrams for classifying spoken and written registers, especially in locating distinct collocations among spoken corpora, as well as revealing syntactic and discourse features through a data-driven approach.

Computer-assisted digital text analysis for journalism and communications research: introducing corpus linguistic techniques that do not require programming

2020 ◽  
pp. 1329878X2094712
Author(s):  
Monika Bednarek ◽  
Georgia Carr
Keyword(s):  
Computational Methods ◽  
Text Analysis ◽  
Corpus Linguistics ◽  
Linguistic Analysis ◽  
Computer Assisted ◽  
Technical Expertise ◽  
Digital Text ◽  
Health News ◽  
Corpus Linguistic ◽  
Digital Methods

Digital methods are becoming more and more important for text analysis in communications research. However, many computational methods require either relevant technical expertise or multi-disciplinary collaboration, which has impeded their uptake. This article introduces an alternative: computer-assisted linguistic analysis (corpus linguistics), an approach that is increasingly being used outside linguistics and requires less expertise. The article uses a dataset of almost 700 items of health news to demonstrate how such techniques can aid the analysis of (dis)preferred language, sources, stigma and responsibility, framing, and project-specific text analysis. We conclude with an evaluation of the key advantages and limitations of corpus linguistic analysis.

scholarly journals Gender Politics and Discourses of #mansplaining, #manspreading, and #manterruption on Twitter

2019 ◽  
Vol 5 (3) ◽  
pp. 205630511986180 ◽  
Author(s):  
Ursula Lutzky ◽  
Robert Lawson
Keyword(s):  
Social Media ◽  
Verbal Behavior ◽  
Gender Politics ◽  
Linguistic Analysis ◽  
Social Practices ◽  
Online Media ◽  
Corpus Linguistic ◽  
The Social ◽  
Politics And Gender ◽  
And Gender

This article presents the findings of a corpus linguistic analysis of the hashtags #mansplaining, #manspreading, and #manterruption, three lexical blends which have recently found widespread use across a variety of online media platforms. Focusing on the social media and microblogging site Twitter, we analyze a corpus of over 20,000 tweets containing these hashtags to examine how discourses of gender politics and gender relations are represented on the site. More specifically, our analysis suggests that users include these hashtags in tweets to index their individual evaluations of, and assumptions about, “proper” gendered behavior. Consequently, their metadiscursive references to the respective phenomena reflect their beliefs of what constitutes appropriate (verbal) behavior and the extent to which gender is appropriated as a variable dictating this behavior. As such, this article adds to our knowledge of the ways in which gendered social practices become sites of contestation and how contemporary gender politics play out in social media sites.

scholarly journals Fundamentalist and tolerant islamic discourse in john updike’s terrorist and jonathan wright’s translation the televangelist: a corpus-based critical discourse analysis of semantic prosody

2019 ◽  
Vol 5 (6) ◽  
Author(s):  
Ahlam Ahmed Mohamed Othman
Keyword(s):  
Discourse Analysis ◽  
Critical Discourse Analysis ◽  
Corpus Linguistics ◽  
Linguistic Analysis ◽  
The Other ◽  
Critical Discourse ◽  
Data Selection ◽  
Corpus Linguistic ◽  
Other Hand ◽  
Semantic Prosody

Corpus-based critical discourse analysis studies have gained momentum in the last decade. Corpus Linguistics allowed critical discourse analysts to avoid bias in data selection and enlarge their samples for more representative findings. Critical Discourse Analysis, on the other hand, gave depth to corpus linguistic analysis by contextualizing it. The present study combines the two approaches to analyze the semantic prosody of Islamic keywords common to John Updike's Terrorist published in 2006 and Jonathan Wright’s translation The Televangelist published in 2016. The results of the corpus-based analysis show that while the semantic prosody of Islamic keywords is negative in Updike’s novel, it is highly positive in the translated novel. The conclusion is that Van Dijk’s proposition of the polarized representation of ‘us’ versus ‘them’ holds for Updike’s fundamentalist Islamic discourse which negatively represents Islam and Muslims. However, Van Dijk’s proposition holds only partially for Wright's tolerant Islamic discourse which positively represents Islam and Muslims without misrepresenting the other.

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