Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

How Ideology is reflected in The Time Machine

A Corpus-based Approach

Bibliographic Data

ID22218205
AuthorsQian Liu (0000-0001-7603-2146, Jinan University, corresponding author)
Year2022
Volume5
Issue6
Pages01-12
Publication date2022-06-01
Open AccessYes
TypeARTICLE
VenueInternational Journal of Linguistics Literature & Translation (JOURNAL)
Journal identifiersISSN: 2617-0299 • E-ISSN: 2708-0099
PublisherAl-Kindi Center for Research and Development (PUBLISHER)
DOI10.32996/ijllt.2022.5.6.1
OpenAlexW4281775618
LanguageEN
Citations received1
References cited10

Much has been accumulated in the research on science fiction, corpus method to literary works, and critical discourse analysis on literary works, while research concerning the combination of these three elements is just beginning. The present study is a case study for examining how a corpus-based approach can combine with CDA and contribute to research on literary works. Specifically, Lancaster Semantic Analysis System (USAS) is firstly used to perform semantic encoding for the text of H.G. Wells’ science fiction The Time Machine. Then the encoded text is imported into Sketch Engine, the ultimate tool to explore how language works. Second, the word list and the keyword program are used for word filtering. The filtered words are then divided into 3 categories, namely, character, environment, and psychology, according to different descriptive aspects. Third, the distribution and collocation of object words in different categories are tested by the sketch engine programs or USAS. Finally, CDA is carried out on these data in combination with the time of the text. Findings from the study have shown that language in The Time Machine is ideology-loaded, characterized by the distinctive modification of different characters, the vagueness of the psychological process, and the diversity of narrative perspectives. In response to scepticism of quantitative stylistics from literary critics, this paper serves to reinforce the literary value of simple quantitative text and corpus data. At the theoretical level, this study tries to explain how micro textual resources can interface with macro discourse, such as ideology and social cognition. At the methodological level, this study promotes the application of the combination of corpus linguistics and critical discourse analysis in stylistics

Corpus linguistics · Ideology · Linguistics · Natural language processing · Politics · Vagueness · Computer Science · Language, Metaphor, and Cognition · Philosophy · Artificial Intelligence

  • Beyond the Allegory

    Open Access•Abdullahi Haruna•International Journal of…•2026

  • How homo economicus is reflected in fiction – A corpus linguistic analysis of 19th and 20th century capitalist societies

    Open Access•Michael Pace-Sigge, Michael Pace‐Sigge•Language Sciences•2018

  • Muslims in social media discourse

    Open Access•A Tornberg, Petter Törnberg•Discourse Context & Media•2016

  • Corpus insights into the harmonization of commercial media in China

    Open Access•Eric Liu, Janny H C Leung•Discourse Context & Media•2021

  • News Constructions of South Africa’s Trial of the Century

    Margaretha Geertsema‐Sligh, Nancy Worthington•Journalism Studies•2020

  • A corpus-based approach to discourses of refugees and asylum seekers in UN and newspaper texts

    Paul Baker, Tony Mcenery•Journal of Language and Politics•2005

  • From historical chains to derivative futures

    Open Access•Sarah Keenan•SSRN Electronic Journal•2018

  • Introduction

    Neil Gerlach, Sheryl N Hamilton•Science Fiction Studies•2003

  • Critical discourse analysis

    Open Access•Huang Hoon Chng, Huang Hoon Chng Huang Hoon Chng•Journal of Pragmatics•1996

  • Muslims' Representation in Donald Trump's Anti-Muslim-Islam Statement

    Open Access•Mushtaq Husain Khan, Mohsin Hassan Khan et al.•Religions•2019

Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae