The object of this analysis is the triplet of (ostensible) synonyms <oppress>, <repress>, and <suppress>, all of which express an action of subjection and therefore share at least a part of their meaning. Also, all three of them are (in most contexts) commonly translated into German as ‘unterdrücken’. The question is to what extent they may be called synonymous.
In order to answer this question, the British National Corpus was taken as an empirical basis.
Compiled corpora offer the advantage of an approach which is time-saving and potentially free of oversights or slips, as decisions are open to be checked at any time again. Data and methods thus allow for an empirical and replicable analysis of meaning.
Table of Contents
1. Introduction
1.1. Corpus semantics and its possibilities
1.2. My basis of research - the BNC
1.3. My object of research - “oppress - repress - suppress“
1.4. Means and methods used
1.5. Considerations in advance
2. Word meaning - different layers of contents
3. Synonymy - different shades of parity
4. Oppress, repress, suppress - Numerical Analysis
5. Oppress, repress, suppress - Semantic Analysis
5.1. Possible meanings according to the OED online
5.2. Subdivision with respect to the word meanings
6. Conclusions
6.1. Results of the numerical analysis
6.2. Results of the semantic analysis
6.3. Ideas for further study
Research Objectives and Topics
This paper aims to investigate the synonymous nature of the English verbs "oppress," "repress," and "suppress" through a corpus-based analysis of the British National Corpus (BNC). The primary research question addresses the extent to which these terms, often translated by the same German equivalent, function as true synonyms in various contextual usages.
- Corpus-based linguistic methodology and the utility of the BNC.
- Theoretical exploration of lexical meaning, including denotation and connotation.
- Taxonomy of synonymy (absolute, complete, and partial).
- Quantitative distribution analysis of the selected lemma triplet.
- Qualitative semantic analysis based on contextual usage patterns and dictionary definitions.
Extract from the Book
1.1. Corpus semantics and its possibilities
The term “corpus“ is used to refer to a collection of written texts or transcribed speech which may be used as a basis for linguistic analysis and description. (cf. KENNEDY 1998; p. 1) Its features are finite size, machine-readable form, representativeness and a standard reference. (cf. MCENERY & WILSON 1996; pp. 21-24)
As a general-purpose corpus is more or less representative of the language variety it is based on – especially large, so-called mega-corpora – one may generalize from the results a corpus-based investigation provides and presume that they show tendencies also present in the whole of the actual variety, thereby discovering not only the feasibility, but also the probability and appropriateness of certain language phenomena. “[...] Evidence for evaluative meanings can be collected by quantitative analysis of large corpora.” (STUBBS 2002, 197).
Compiled corpora offer the advantage of an approach which is time-saving and potentially free of oversights or slips, as made decisions “can be checked by independent observers. Date and methods therefore make possible the replicable and empirical analysis of meaning.“ (ibid., p. 50) Finally, corpus linguistics, besides being a means of scientific discovery, finds various fields of practical application, among which are lexicology and language teaching. (cf. MCENERY & WILSON 1996; pp. 86-115).
Summary of Chapters
1. Introduction: Defines the foundations of corpus linguistics and introduces the specific triplet of words chosen for the research.
2. Word meaning - different layers of contents: Explores the distinction between denotative and connotative meanings as the theoretical basis for analyzing synonymy.
3. Synonymy - different shades of parity: Categorizes types of synonymy, specifically defining absolute, complete, and partial synonymy to frame the analytical approach.
4. Oppress, repress, suppress - Numerical Analysis: Presents the frequency data gathered from the BNC, showing the dominance of the term "suppress."
5. Oppress, repress, suppress - Semantic Analysis: Examines the specific contexts of the words using OED definitions and categorizes them into distinct semantic fields.
6. Conclusions: Synthesizes the findings, confirming that the words are not absolute synonyms and identifying their specific usage preferences.
Keywords
Corpus linguistics, BNC, synonymy, oppress, repress, suppress, denotation, connotation, semantic analysis, numerical distribution, lexical semantics, contextual usage, partial synonymy, linguistics, vocabulary.
Frequently Asked Questions
What is the core focus of this research paper?
The paper focuses on a corpus-based linguistic analysis of the partial synonyms "oppress," "repress," and "suppress" to determine how their contextual usage differs despite their shared core meaning of "subjection."
What are the primary thematic areas covered?
The study covers corpus methodology, theories of lexical meaning (denotative vs. connotative), the classification of synonymy, and the quantitative and qualitative analysis of specific English verb usage.
What is the central research question?
The research asks to what extent the three terms can be considered synonymous and how their usage differs when analyzed through a large-scale corpus.
Which scientific methods are applied in this work?
The author uses quantitative corpus-based analysis using "Word Smith" software to examine the BNC, followed by a qualitative semantic evaluation based on OED dictionary definitions and contextual distribution.
What topics are discussed in the main body of the work?
The main body treats the theoretical definitions of meaning and synonymy, the numerical frequency counts of the three verbs, and a detailed semantic categorization of the contexts in which each word appears.
Which keywords characterize this analysis?
Key terms include corpus linguistics, BNC, partial synonymy, lexical semantics, denotative and connotative meaning, and semantic distribution.
Why did the author specifically choose these three verbs?
The choice was influenced by the author's experience with French "false friends" (opprimer, réprimer, supprimer) and the observation that all three English terms are often incorrectly lumped together as having the same German translation.
What were the results regarding the frequency of the terms?
The analysis revealed that "suppress" occurs with significantly higher frequency than the other two terms, effectively dismissing any notion of absolute synonymy between them.
Is there a functional overlap between the three words?
Yes, there is some overlap, especially in political contexts or in the subduing of emotions, but the author concludes that each term exhibits a clear preference for specific semantic fields.
- Quote paper
- Volker Lorenz (Author), 2004, Corpus-based analysis of the partial synonyms "oppress, repress, suppress" with regard to their contextual usage, Munich, GRIN Verlag, https://www.grin.com/document/93554
