39 citations · 39 across the 2 of their papers we have counts for
3 papers
Language Models Explain Word Reading Times Better Than Empirical Predictability
Markus J. Hofmann, Steffen Remus, Chris Biemann +2
Though there is a strong consensus that word length and frequency are the most important single-word features determining visual-orthographic access to the mental lexicon, there is…
Individual corpora predict fast memory retrieval during reading
Markus J. Hofmann, Lara Müller, Andre Rölke +2
The corpus, from which a predictive language model is trained, can be considered the experience of a semantic system. We recorded everyday reading of two participants for two month…
Decomposing predictability: Semantic feature overlap between words and the dynamics of reading for meaning
Markus J. Hofmann, Mareike A. Kleemann, Andre Roelke +2
The present study uses a computational approach to examine the role of semantic constraints in normal reading. This methodology avoids confounds inherent in conventional measures o…