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cs.CL2024
Evaluating Morphological Compositional Generalization in Large Language Models
Mete Ismayilzada, Defne Circi, Jonne Sälevä +6
Large language models (LLMs) have demonstrated significant progress in various natural language generation and understanding tasks. However, their linguistic generalization capabil…
cs.CL2024
Detecting Structured Language Alternations in Historical Documents by Combining Language Identification with Fourier Analysis
Hale Sirin, Sabrina Li, Tom Lippincott
In this study, we present a generalizable workflow to identify documents in a historic language with a nonstandard language and script combination, Armeno-Turkish. We introduce the…
cs.CL2024
Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses
Hale Sirin, Tom Lippincott
We present a novel combination of dynamic embedded topic models and change-point detection to explore diachronic change of lexical semantic modality in classical and early Christia…