What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity (open access)

What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity

Article describes how the authors present an analysis of eight measures used for quantifying morphological complexity of natural languages. The measures they study are corpus-based measures of morphological complexity with varying requirements for corpus annotation.
Date: September 22, 2022
Creator: Çöltekin, Çağrı & Rama, Taraka
Object Type: Article
System: The UNT Digital Library
Artificial Intelligence for Earth System Predictability: 2021 Workshop Report (open access)

Artificial Intelligence for Earth System Predictability: 2021 Workshop Report

This report documents the proceedings and results from the Artificial Intelligence for Earth System Predictability (AI4ESP) workshop. The goals of this workshop were to explore more radically and aggressively advance prediction capabilities in the climate, Earth, and environmental sciences through the use of modern data analytics and artificial intelligence.
Date: September 1, 2022
Creator: Hickmon, Nicki; Varadharajan, Charuleka; Hoffman, Forrest; Wainwright, Haruko & Collis, Scott
Object Type: Report
System: The UNT Digital Library