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A personal account of finding a fossil seashell in the Saudi desert and using computational methods to analyze its shape compared to thousands of shell species.
Presents a novel pattern-and-root model for describing Arabic noun inflection, focusing on broken plurals, with a taxonomy of 160 classes and an encoding scheme applied to 3,200 entries, aiming to improve computational language resources.
This paper investigates how character-level transformer models generalize to irregular verb subtypes in Japanese past-tense inflection. Controlled experiments show that including irregular examples can improve generalization, challenging the assumption that regularity simplifies learning.