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cs.CL2024★ 1 cited
Examining Language Modeling Assumptions Using an Annotated Literary Dialect Corpus
Craig Messner, Tom Lippincott
We present a dataset of 19th century American literary orthovariant tokens with a novel layer of human-annotated dialect group tags designed to serve as the basis for computational…
cs.CL2024
Pairing Orthographically Variant Literary Words to Standard Equivalents Using Neural Edit Distance Models
Craig Messner, Tom Lippincott
We present a novel corpus consisting of orthographically variant words found in works of 19th century U.S. literature annotated with their corresponding "standard" word pair. We tr…
cs.LG2024
Graph-Convolutional Autoencoder Ensembles for the Humanities, Illustrated with a Study of the American Slave Trade
Tom Lippincott
We introduce a graph-aware autoencoder ensemble framework, with associated formalisms and tooling, designed to facilitate deep learning for scholarship in the humanities. By compos…