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Introduction

Natural language generation (NLG) is a subfield of artificial intelligence that focuses on the automatic generation of human-like text. In recent years, NLG has gained significant attention in various domains such as healthcare, finance, and marketing. One area that is particularly promising for the application of NLG is sports journalism. With the vast amount of data available in sports, there is a need for automated systems that can generate high-quality sports articles in a timely manner. This thesis aims to explore the use of NLG for automated sports journalism and investigate the challenges and opportunities in this area.

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitations of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter Two: Literature Review
2.1 Introduction to NLG in sports journalism
2.2 Overview of NLG techniques
2.3 Previous studies on NLG in sports journalism
2.4 Challenges in NLG for sports journalism
2.5 Opportunities in NLG for sports journalism
2.6 Comparison of NLG systems in sports journalism
2.7 Ethical considerations in NLG for sports journalism
2.8 Future directions in NLG for sports journalism
2.9 Summary of literature review

Chapter Three: Research Methodology
3.1 Introduction to research methodology
3.2 Data collection methods
3.3 NLG techniques used
3.4 Evaluation metrics
3.5 Implementation details
3.6 Experimental design
3.7 Data analysis methods
3.8 Validity and reliability of the study

Chapter Four: Discussion of Findings
4.1 Overview of the data
4.2 Evaluation of the NLG system
4.3 Comparison with manual sports journalism
4.4 User feedback on automated sports articles
4.5 Ethical implications of NLG in sports journalism
4.6 Challenges encountered in the research
4.7 Recommendations for future research
4.8 Implications for the field of sports journalism

Chapter Five: Conclusion and Summary
5.1 Summary of findings
5.2 Contributions to the field
5.3 Limitations of the study
5.4 Future research directions
5.5 Conclusion

Thesis Overview

In this thesis, we explore the use of Natural Language Generation (NLG) for automated sports journalism. The introduction provides background information on NLG and its potential applications in sports journalism. We discuss the problem statement, objectives, limitations, scope, significance of the study, and the structure of the thesis. We also define key terms related to NLG and sports journalism.

The literature review in Chapter Two covers previous studies on NLG in sports journalism, challenges, opportunities, and ethical considerations. We compare different NLG systems and discuss future directions in the field.

Chapter Three details the research methodology, including data collection methods, NLG techniques, evaluation metrics, and experimental design. We also address the validity and reliability of the study.

In Chapter Four, we present the findings of our research, including the evaluation of the NLG system, user feedback, comparisons with manual sports journalism, ethical implications, challenges, recommendations, and implications for the field.

The conclusion in Chapter Five summarizes our findings, contributions to the field, limitations, future research directions, and overall conclusion on the use of NLG for automated sports journalism.

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