A classic study shows that German sentences that contain nested dependencies between nouns and verbs are harder to understand that the Dutch versions with crossing dependencies. This is surprising, because one would think that most languages would opt for the easier structure. Our project replicates and improves on the study, in order to test if the unexpected result indeed holds up.
This research project investigates what determines successful learning of grammar by neural networks, and conduct this investigation with various languages differing in word order and morphological complexity.
Some interpersonal verbs, such as "amuse'' and "admire'', are associated with a strong bias in favour of either their subject or their object as the cause of the described event. Using self-paced reading and eye-tracking during reading, we investigate at which point during comprehension this bias plays a role.
This EU COST Action aims to develop a large multilingual eye tracking corpus and enable researchers to collect data by sharing infrastructure and their knowledge between various fields, including linguistics, psychology, and computer science.
This project explores human perception. It brings together a unique and highly qualified team representing Linguistics, Cognitive Psychology, Geoscience and History of Religion to investigate language of perception in three diverse Language Observatories.
When bilinguals comprehend or produce sentences, they often display language transfer, code switching and cross-linguistic syntactic priming. Although these phenomena form a fascinating window into the multilingual mind, very little is currently understood about the neural and cognitive mechanisms that underlie them. The project will tackle this issue.
In various languages, speakers have a choice between using a polite or informal pronoun when addressing others. While previous research often focussed on the impact of the use of a polite or informal pronouns on the speaker, this project sets itself apart by taking the addressee’s perspective.
Dutch discourse particles (e.g. eigenlijk) are frequent and important in conversation. This project addresses the as of yet unanswered question how people with acquired communication disorders (ACD) use these important linguistic elements.
In this project both behavioral and neuroscientific methods (EEG, MEG) are used in order to study how we infer hierarchically structured (syntactic) representations from linearly structured, word-by-word language input.
People who speak multiple languages do not have a “fire wall” in their brain to keep the languages apart: knowledge of one language affects use of the other. The researchers will develop a precise, mathematical description of this “language leak” by having a computer simulate its causes and consequences.