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.

Poster discussing practical methods for ensuring the quality of descriptive metadata associated with linguistic datasets in language archive deposits. Digital language archives are valuable tools for facilitating language revitalization, providing data on lesser-known languages, and supporting reproducibility of research and development of linguistic theory, though their potential remains unrealized as the data available in language archives are rarely accessed by linguists or language communities. Reasons for this under-utilization are the issues with data standardization and metadata quality. Including basic grammatical and typological information would allow wider audiences to reach the material.

This presentation explores the variation in interlinear-glossed text (IGT) in 5 closely related South-Central Tibeto-Burman languages with verb stem alternation, reduplicated adverbial modifiers, and pre-verbal directionals. While IGT is a rich representation of language, IGT for even closely related languages can look markedly different due to individual linguists’ divergent analyses. In comparing the discrepancies between representations of such features, we gain insight into the underlying analytic thinking of the annotator to reexamine and improve analyses.

Data management plan for the grant, "FW-HTF-P: Immersive Virtual Reality Instructional Modules for Response to Active Shooter Events."

Working paper exploring ChatGPT. It begins with an introduction to ChatGPT and then proceeds into a transcript of a conversation with the platform about it and related AI technologies’ impact on the future of scholarly publishing, before concluding with some discussion on the further implications.

Data management plan for the grant, "HDR DSC: Collaborative Research: Creating and Integrating Data Science Corps to Improve the Quality of Life in Urban Areas."

Article describes how accurately predicting the condition rating of a bridge deck is crucial for effective maintenance and repair planning. This study aims to assess the effectiveness of these algorithms for deck condition rating prediction at the national level.