Supplementary Materials for Optimising Machine Learning Approach to Feature Weighting and Performance Classification in Automated Multi-Dimensional Assessment of Interpreting Quality
Abstract
The supplementary materials include full computational specifications for all 42 features (Appendix B), grid search parameters (Appendix C), cluster validation procedures (Appendix D), the complete feature ranking beyond the top 10 reported in the main text (Appendix F), and assessment criteria (Appendix G). Cross-references to these appendices have been added at the relevant points in the manuscript.
Fields of Study & Subjects
Translation Studies and Practices
Natural Language Processing Techniques
Data Mining and Machine Learning Applications
Publication details
- Journal / source
- OSF Preprints (OSF Preprints)
- Publication date
- 11 February 2026
- Language
- EN
- Document type
- Preprint