Showing 2026 · cs.CLShow all
2 papers · 2 filters
cs.CL2026
Revisiting the Estimation of Unigram Surprisal in Computational Psycholinguistics
Zachary Hopton, Francesco Ignazio Re, Samuel Kiegeland +3
Contextual and unigram surprisal are standard predictors of reading time in computational psycholinguistics. While contextual surprisal is typically derived from neural language mo…
cs.CL2026
RUMLEM: A Dictionary-Based Lemmatizer for Romansh
Dominic P. Fischer, Zachary Hopton, Jannis Vamvas
Lemmatization -- the task of mapping an inflected word form to its dictionary form -- is a crucial component of many NLP applications. In this paper, we present RUMLEM, a lemmatize…