Lexical Repetition in Academic Discourse

Table of Contents

1. Introduction

1.1 Background to the study

1.2 Aims of the present research

1.3 An overview of the dissertation

2. Theoretical Framework

2.0 Overview

2.1 Coherence and cohesion

2.1.1 Definitions of coherence and cohesion

2.1.2 Types of cohesion

2.2 Lexical cohesion and lexical repetition

2.2.1 Categories of lexical cohesion

2.2.2 Lexical chains or a lexical net?

2.3 Hoey’s (1991) Repetition Model

2.3.1 The theoretical background of the model

2.3.2 Hoey’s (1991) taxonomy of lexical repetition

2.3.3 Links and bonds creating a lexical net

2.3.4 The steps of the analysis

2.3.5 Applications of Hoey’s (1991) model

2.3.6 Inconsistencies within Hoey’s (1991) model

2.3.7 The link triangle and the mediator missing

2.3.8 The questions of anaphora resolution

2.3.9 Prescriptiveness or descriptiveness of the model

2.4 Károly’s (2002) Repetition Model

2.4.1 Károly’s (2002) taxonomy of lexical repetition

2.4.2 Károly’s (2002) method of analysis

2.4.3 Károly’s empirical investigation

2.4.4 A corpus-based investigation using Károly’s (2002) taxonomy

2.5 Summary

3. Methodological background: the academic writing context

3.0 Overview

3.1 The nature of academic discourse

3.1.1 General features of English academic discourse

3.1.2 The types of writing tasks required at university

3.1.3 Disciplinary differences in academic discourse

3.1.4 Implications for language pedagogy

3.1.5 Independent vs. integrative writing tasks

3.2 Task variables influencing academic discourse quality

3.2.1 The classification of variables in academic writing

3.2.2 Contextual variables of integrated academic discourse quality

3.2.3 Cognitive variables of integrated academic discourse quality

3.2.4 Summary writing as a complex task

3.2.5 Writing a compare/contrast essay

3.3 Assessing academic discourse

3.3.1 ‘Traditional’ and recent academic essay assessment practices

3.3.2 Validity in L2 academic writing assessment

3.3.3 Generalizability of judgement on academic discourse quality

3.3.4 Reliability of perceived discourse quality

3.3.5 Text quality requirements by course teachers

3.3.6 Explicit instruction on coherence, cohesion and lexical repetition in higher education

3.3.7 Automated assessment of text quality

3.3.8 Controversial views on the automated assessment of essay quality

3.4 Summary

4. Aims and Research Questions

5. Research design and procedures of analysis

5.1 A sequential mixed design

5.2 Stage 1: Analysis of academic summaries

5.2.1 The summary writing task

5.2.2 Corpus size and representativity

5.2.3 Context validity evaluation of the summary writing task

5.2.4 Features of the input text

5.2.5 Quality assessment of the corpus

5.2.6 Methods of data analysis in Stage 1

5.3 Stage 2: Analysis of compare/contrast essays

5.3.1 The compare/contrast essay writing task

5.3.2 Quality assessment of the corpus

5.3.3 Methods of data analysis in Stage 2

6. Results of the lexical repetition analysis of academic summaries

6.1 General features of the summaries

6.2 Results related to repetition type

6.3 Results related to the combination of links and bonds

6.4 Methodological outcomes

6.5 Summary

7. Results of the lexical repetition analysis of compare/contrast essays

7.1 General features of the compare/contrast essays

7.2 Results related to repetition type

7.3 Results related to the combination of links and bonds

7.4 Features not detected

7.5 Methodological outcomes with automation in mind

7.6 Summary

8. The design of a new LRA model for large-scale analysis

8.1 The newly proposed LRA model: the three modules of the analysis

8.2 Phase 1: Preparation of the corpus

8.2.1 Plagiarism check

8.2.2 L2 special corpora treatment / Error treatment

8.2.3 POS tagging

8.2.4 POS tagging for lower level L2 texts

8.2.5 Using WordNet with the existing taxonomy

8.2.6 Using WordNet with errors in a learner corpus

8.3 Phase 2: Finding links

8.3.1 Theoretical considerations: altering the taxonomy

8.3.2 Introducing the concept of ‘key term’ into the coding process

8.3.3 Lexical unit identification in the case of multiword units

8.4 Special use of the model for academic summary writing

8.5 Visual representation of links and bonds

8.6 Connecting the new LRA model to a cognitive framework

8.7 The scope and limitations of the new LRA model

9. Conclusions

9.1 Summary of main results

9.2 Pedagogical implications

9.3 Limitations

9.4 Terminology issues

9.5 Suggestions for further research

Objectives & Research Themes

The primary aim of this research is to investigate the text-organizing role of lexical repetition within academic discourse, specifically testing the applicability of Károly’s (2002) lexical repetition analysis (LRA) model to academic summary writing and compare/contrast essays produced by EFL students. The research seeks to determine whether lexical repetition patterns can predict teachers' evaluations of discourse quality and subsequently develop a semi-automated model for large-scale analysis.

• Lexical cohesion and text organization in academic genres.
• Predictive power of LRA regarding perceived discourse quality.
• Comparative analysis of high-rated and low-rated student texts.
• Integration of computer-assisted tools for lexical analysis.
• Methodological considerations for scaling LRA to large learner corpora.

Excerpt from the Book

Summary of Chapters

1. Introduction: Introduces the research context, focusing on the study of lexical cohesion and lexical repetition as vital components of discourse analysis in academic writing.

2. Theoretical Framework: Provides the theoretical background regarding coherence and cohesion, analyzing the evolution of lexical repetition models from Hoey (1991) to Károly (2002).

3. Methodological background: the academic writing context: Examines the academic writing context, including task variables, assessment practices, and the role of both manual and automated analysis in evaluating text quality.

4. Aims and Research Questions: Outlines the core research questions driving the study, focusing on the applicability of the LRA model to different genres and its future automation.

5. Research design and procedures of analysis: Details the sequential mixed methods research design, including data collection and analytical procedures for both academic summaries and compare/contrast essays.

6. Results of the lexical repetition analysis of academic summaries: Presents the findings from the first stage of research, identifying differences in repetition patterns between high- and low-rated summaries.

7. Results of the lexical repetition analysis of compare/contrast essays: Discusses the findings from the second stage, focusing on the LRA application to compare/contrast essays and the limitations observed.

8. The design of a new LRA model for large-scale analysis: Proposes a new modular LRA model for large-scale analysis, incorporating steps for text preparation, link identification, and bond establishment.

9. Conclusions: Summarizes the study’s main results, pedagogical implications, limitations, and suggests areas for future research in lexical repetition analysis.

Keywords

Lexical repetition, Academic discourse, Cohesion, Coherence, Lexical cohesion, Károly’s model, Hoey’s model, Learner corpora, Automated assessment, Summary writing, Compare/contrast essay, Discourse analysis, Corpus linguistics, Text quality, Language pedagogy.

Frequently Asked Questions

What is the core focus of this research?

This research focuses on the role of lexical repetition in organizing academic discourse. It explores how lexical repetition patterns contribute to the cohesion and structure of academic texts and whether these patterns can predict the quality of student writing as perceived by teachers.

What are the central thematic fields?

The central thematic fields include discourse analysis, corpus linguistics, and language pedagogy. Specifically, it examines lexical cohesion models, automated text assessment, and the rhetorical features of academic writing tasks such as summaries and compare/contrast essays.

What is the primary objective of the study?

The primary goal is to apply and extend existing lexical repetition analysis (LRA) models to new academic genres and to design a framework for a computer-assisted model that can handle larger learner corpora.

Which scientific methods are employed?

The study utilizes a sequential mixed methods research design, combining qualitative and quantitative analyses. Manual coding of lexical repetition is applied to small corpora, followed by an exploration of automated or semi-automated methods using software like Concordance 3.3 and Coh-Metrix.

What does the main body of the dissertation cover?

The main body covers the theoretical foundations of cohesion and coherence, the specific context of academic writing at the university level, the detailed research design and methodology, and the empirical results from analyzing student summaries and compare/contrast essays. It culminates in the design of a new modular LRA model.

Which keywords characterize this work?

Key terms include Lexical repetition, Cohesion, Academic discourse, Learner corpora, Text quality, Károly’s model, Automated assessment, and Discourse organization.

How does the research address the potential for automating lexical repetition analysis?

The study evaluates current limitations in software regarding the specific categorization required by LRA models and proposes a new modular framework. It suggests that while full automation is currently complex due to linguistic nuances, semi-automated components can be developed for text preparation and link identification.

What is the significance of the "lexical net" concept in this study?

The "lexical net" concept, as opposed to simple linear chains, is crucial because it allows the model to map semantic relations across the entire text, disregarding the distance between sentences. This provides a more robust measure of discourse organization and global cohesion.