Excrescent vowels in Lamkang prefix sequences (open access)

Excrescent vowels in Lamkang prefix sequences

Article examines the nature of the super-short vowel-like segments between the C- prefixes of the Lamkang language by combining acoustic analysis with speakers' intuitions about syllable structure. The authors argue that an accurate phonetic description of Lamkang vowels must include these super-short vowels, as well as long and short vowels, which are phonemically distinct.
Date: January 14, 2020
Creator: Burke, Mary; Chelliah, Shobhana Lakshmi & Robinson, Melissa
System: The UNT Digital Library
An exploration of text mining of narrative reports of injury incidents to assess risk (open access)

An exploration of text mining of narrative reports of injury incidents to assess risk

In this article, a topic model was explored using unsupervised machine learning to summarized free-text narrative reports of 77,215 injuries that occurred in coal mines in the USA between 2000 and 2015. Latent Dirichlet Allocation modeling processes identified six topics from the free-text data. The modeling success enjoyed in this exploratory effort suggests that additional topic mining of these injury text narratives is justified, especially using a broad set of covariates to explain variations in topic emphasis and for comparison of surface mining injuries with injuries occurring during site preparation for construction.
Date: December 14, 2018
Creator: Passmore, David L.; Chae, Chungil; Kustikova, Yulia; Baker, Rose M. & Yim, Jeong-Ha
System: The UNT Digital Library
Competencies Required for Digital Curation: An Analysis of Job Advertisements (open access)

Competencies Required for Digital Curation: An Analysis of Job Advertisements

Article discussing competencies required for digital curation. The results of the analysis show that digital curation jobs are characterized by a complex interplay of various skills and knowledge. The findings of this study present emerging requirements for a qualified workforce in the field of digital curation.
Date: June 14, 2013
Creator: Kim, Jeonghyun; Warga, Edward & Moen, William E.
System: The UNT Digital Library
Synthetic data for annotation and extraction of family history information from clinical text (open access)

Synthetic data for annotation and extraction of family history information from clinical text

This article investigates the use of synthetic data for the annotation and automated extraction of family history information relating to cases of cardiac disease from Norwegian clinical text. This work assesses the validity and applicability of the annotated synthetic corpus using machine learning techniques. The methodology outlined in this article may be useful in other situations where limited availability of clinical text hinders NLP tasks.
Date: July 14, 2021
Creator: Brekke, Pål H.; Kasicheyanula, Taraka; Pilán, Ildikó; Nytrø, Øystein & Øvrelid, Lilja
System: The UNT Digital Library
Soft Skills for Entry-Level Engineers: What Employers Want (open access)

Soft Skills for Entry-Level Engineers: What Employers Want

This article is a review of literature for skills comprised within the Accreditation Board of Engineering and Technology (ABET) criteria determined 26 topics necessary for the entry-level and continued success of engineers. The findings suggest that although entry-level engineers have proficiency in all of these ABET required skills, the entry-level engineers were not meeting the level of importance expressed by the organization for 24 of these 26 skills.
Date: October 14, 2021
Creator: Hirudayaraj, Malar; Baker, Rose M.; Baker, Francie & Eastman, Mike
System: The UNT Digital Library
Tools to support interpreting multiple regression in the face of multicollilnearity (open access)

Tools to support interpreting multiple regression in the face of multicollilnearity

This article argues that rather than using one technique to investigate regression results, researchers should consider multiple indices to understand the contributions that predictors make not only to a regression model, but to each other as well.
Date: March 14, 2012
Creator: Kraha, Amanda; Turner, Heather; Nimon, Kim F.; Zientek, Linda Reichwein & Henson, Robin K.
System: The UNT Digital Library