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) ## AboutThis dataset was published in the appendix of a PhD Dissertation by Robert G. Smith [e-mail] 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本数据集为爱尔兰手语（Irish Sign Language, ISL）非手部特征（Non-Manual Feature）数据集。 # 引用信息： 罗伯特·G·史密斯（Robert G. Smith）. (2023). 利用关联规则挖掘助力手语处理中非手部特征的应用[博士学位论文]. 都柏林理工大学（Technological University Dublin）. 爱尔兰都柏林. 罗伯特·G·史密斯. (2024). TUD-RSmith/PhD-Appendices：首次发布——Smith_NMF数据集V1.0.0（Smith_NMF_v1.0.0）[数据集]. Zenodo. https://doi.org/10.5281/zenodo.10639554 [](https://zenodo.org/doi/10.5281/zenodo.10639533) ## 数据集说明 本数据集发表于罗伯特·G·史密斯（[e-mail]）的博士学位论文附录中。 引用信息：罗伯特·G·史密斯. 利用关联规则挖掘助力手语处理中非手部特征的应用[博士学位论文]. 爱尔兰都柏林理工大学, 爱尔兰, 2023. ## 数据集组成 本数据集由多个子数据集构成： ### 附录C [附录C](https://github.com/TUD-RSmith/PhD-Appendices/tree/main/AppendixC-most_frequent_lexical_items_in_the_SOI_corpus)：词汇频率列表（参见：Smith, R. G. 与 Hofmann, M., (2020). 爱尔兰手语词汇频率分析. TEANGA，《爱尔兰应用语言学协会期刊》，11卷，第18-47页. https://doi.org/10.35903/teanga.v11i1.162） ### 附录D [附录D](https://github.com/TUD-RSmith/PhD-Appendices/tree/main/AppendixD-all_association_rules)：关联规则。本研究为该博士课题的核心产出，具体研究方法详见博士论文（本目录包含经过滤与未过滤的数据集）。 ### 附录E [附录E](https://github.com/TUD-RSmith/PhD-Appendices/tree/main/AppendixE-Datasets)：用于生成关联规则的数据集。 ### 附录F [附录F](https://github.com/TUD-RSmith/PhD-Appendices/tree/main/AppendixF-Source_code)：用于生成附录D中所列规则的R语言源代码。 ### 附录G [附录G](https://github.com/TUD-RSmith/PhD-Appendices/tree/main/AppendixG-integrity_test)：用于完整性测试的R语言源代码。