Wietse de Vries
Computational learning algorithms may tell us why some sentences are easier to read than others
Lexical processing times are the durations a brain needs to process a word. These lexical processing times give an indication about how much effort is needed to process words in a sentence. This paper applies cognitively plausible learning algorithms (Rescorla-Wagner and recurrent neural network) to simulate a language learning process. These models can then give insight about what linguistic structures are easier to read than others.
In 2018 I graduated cum laude from my bachelor at the University of Groningen, with a major in Information Science and a minor in Artificial Intelligence. After graduating, I started the MSc Human Machine Communication as well as the MA Information Science program. My interests are mainly in the field of computational linguistics.