Towards a Model of General Text Complexity for Swedish.
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Linköping :
Linkopings Universitet,
2018.
|
| Edition: | 1st ed. |
| Series: | Linköping Studies in Science and Technology. Licentiate Thesis Series
|
| Subjects: | |
| Online Access: | Click to View |
Table of Contents:
- Intro
- Abstract
- Acknowledgments
- Contents
- List of Figures
- List of Tables
- Introduction
- Background and related work
- Text complexity analysis
- Machine learning
- Features for text complexity
- Shallow text features
- Lexical features
- Morpho-syntactic features
- Syntactic features
- Necessary pre-processing
- Classification using the feature set
- Introduction
- Method
- Evaluation of features for easy-to-read classification
- Choosing optimal features for easy-to-read classification
- Discussion
- Summary
- A note on the philosophy of statistics and probability
- Probability, statistics and data
- Thomas Bayes, Pierre-Simon Laplace and their theorem
- Illustrative criticisms
- Why I am a Bayesian
- Statistical models for text complexity assessment
- The Multi-Scale Probit model
- Evaluation procedure
- Simulation experiments
- Application to text complexity analysis
- Closing words
- Future work and final words
- Future work
- Conclusion
- Bibliography
- Supplementary figures
- Posterior distribution for bold0mu mumu 2005/06/28 ver: 1.3 subfig package
- Publications
- Department of Computer and Information Science.