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open access

Excrescent vowels in Lamkang prefix sequences

Description: 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
Partner: UNT College of Information

Strategies for Increasing Findabilitiy of Language Data

Description: 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 communit… more
Date: January 4, 2020
Creator: Burke, Mary
Partner: UNT College of Information

Cross-Language Comparison of Mismatched Annotation in Interlinear-Glossed Texts

Description: 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 a… more
Date: January 8, 2021
Creator: Burke, Mary & Chelliah, Shobhana Lakshmi
Partner: UNT College of Information
open access

A Chat with ChatGPT: How will AI and GPT impact scholarly publishing?

Description: 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.
Date: January 2023
Creator: Lund, Brady, 1994-
Partner: UNT College of Information
open access

Development and Utilization of Bridge Data of the United States for Predicting Deck Condition Rating Using Random Forest, XGBoost, and Artificial Neural Network

Description: 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.
Date: January 16, 2024
Creator: Fard, Fariba & Fard, Fereshteh Sadeghi Naieni
Partner: UNT College of Information
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