4 papers
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…
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…
The Mediomatix Corpus: Parallel Data for Romansh Language Varieties via Comparable Schoolbooks
Zachary Hopton, Jannis Vamvas, Andrin Büchler +3
The five idioms (i.e., varieties) of the Romansh language are largely standardized and are taught in the schools of the respective communities in Switzerland. In this paper, we pre…
Modeling Orthographic Variation in Occitan's Dialects
Zachary William Hopton, Noëmi Aepli
Effectively normalizing textual data poses a considerable challenge, especially for low-resource languages lacking standardized writing systems. In this study, we fine-tuned a mult…