32 citations · 53 across the 7 of their papers we have counts for
7 papers
An experimental and computational study of an Estonian single-person word naming
Kaidi Lõo, Arvi Tavast, Maria Heitmeier +1
This study investigates lexical processing in Estonian. A large-scale single-subject experiment is reported that combines the word naming task with eye-tracking. Five response vari…
Is deeper always better? Replacing linear mappings with deep learning networks in the Discriminative Lexicon Model
Maria Heitmeier, Valeria Schmidt, Hendrik P. A. Lensch +1
Recently, deep learning models have increasingly been used in cognitive modelling of language. This study asks whether deep learning can help us to better understand the learning p…
Frequency effects in Linear Discriminative Learning
Maria Heitmeier, Yu-Ying Chuang, Seth D. Axen +1
Word frequency is a strong predictor in most lexical processing tasks. Thus, any model of word recognition needs to account for how word frequency effects arise. The Discriminative…
How trial-to-trial learning shapes mappings in the mental lexicon: Modelling Lexical Decision with Linear Discriminative Learning
Maria Heitmeier, Yu-Ying Chuang, R. Harald Baayen
Trial-to-trial effects have been found in a number of studies, indicating that processing a stimulus influences responses in subsequent trials. A special case are priming effects w…
How direct is the link between words and images?
Hassan Shahmohammadi, Maria Heitmeier, Elnaz Shafaei-Bajestan +2
Current word embedding models despite their success, still suffer from their lack of grounding in the real world. In this line of research, Gunther et al. 2022 proposed a behaviora…
Language with Vision: a Study on Grounded Word and Sentence Embeddings
Hassan Shahmohammadi, Maria Heitmeier, Elnaz Shafaei-Bajestan +2
Grounding language in vision is an active field of research seeking to construct cognitively plausible word and sentence representations by incorporating perceptual knowledge from…
Modeling morphology with Linear Discriminative Learning: considerations and design choices
Maria Heitmeier, Yu-Ying Chuang, R. Harald Baayen
This study addresses a series of methodological questions that arise when modeling inflectional morphology with Linear Discriminative Learning. Taking the semi-productive German no…