Smith_ISL_NMF_V1.0.0

This is an dataset of Irish Sign Language (ISL) Non-Manual Feature data.

# Cite: 

Robert G. Smith, (2023). Exploiting Association Rules Mining to Inform the Use of Non-Manual Features in Sign Language Processing. PhD Dissertation. Technological University Dublin. Dublin, Ireland.

Robert G. Smith. (2024). TUD-RSmith/PhD-Appendices: First release - Smith_NMF Dataset V1.0.0 (Smith_NMF_v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.10639554

[](https://zenodo.org/doi/10.5281/zenodo.10639533)

## About
This dataset was published in the appendix of a PhD Dissertation by Robert G. Smith robert.smith@tudublin.ie

Cite: Robert G. Smith, Exploiting Association Rules Mining to Inform the Use of Non-Manual Features in Sign Language Processing, PhD Dissertation, Technological University Dublin, Ireland, 2023.

The dataset is comprised of several smaller datasets: 
### Appendix C 
[Appendix C](https://github.com/TUD-RSmith/PhD-Appendices/tree/main/AppendixC-most_frequent_lexical_items_in_the_SOI_corpus)
lexical frequency list (see: Smith, R. G. & Hofmann, M., (2020). A Lexical Frequency Analysis of Irish Sign Language. TEANGA, the Journal of the Irish Association for Applied Linguistics, 11, 18–47. https://doi.org/10.35903/teanga.v11i1.162)

### Appendix D
[Appendix D](https://github.com/TUD-RSmith/PhD-Appendices/tree/main/AppendixD-all_association_rules)
Association rules. This was the main output of the PhD work. See the dissertation for method. (this dir includes filtered and unfiltered data)

### Appendix E
[Appendix E](https://github.com/TUD-RSmith/PhD-Appendices/tree/main/AppendixE-Datasets)
Datasets used to generate association rules 

### Appendix F
[Appendix F](https://github.com/TUD-RSmith/PhD-Appendices/tree/main/AppendixF-Source_code)
Source code (R) used to generate rules listed in Appendix D 

### Appendix G
[Appendix G](https://github.com/TUD-RSmith/PhD-Appendices/tree/main/AppendixG-integrity_test)
Source code (R) used for integrity testing