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People learn language from their social environment. As individuals differ in their social networks, they might be exposed to input with different lexical distributions, and these might influence thei...
In our recent publication “How robust are prediction effects in language comprehension? Failure to replicate article-elicited N400 effects” (Ito, Martin, & Nieuwland, 2016a), we report two experime...
Readability research has a long and rich tradition, but there has been too little focus on general readability prediction without targeting a specific audience or text genre. Moreover, although NLP-in...
Probabilistic prediction plays a crucial role in language comprehension. When predictions are fulfilled, the resulting facilitation allows for fast, efficient processing of ambiguous, rapidly-unfoldin...
Speech perception involves prediction, but how is that prediction implemented? In cognitive models prediction has often been taken to imply that there is feedback of activation from lexical to pre-lex...
The anticipation of the forthcoming behaviour of social interaction partners is a useful ability supporting interaction and communication between social partners. Associations and prediction based on ...
Research on prediction in language processing has focused predominantly on the function of predictive context and less on the potential contribution of the predicted word. The present study investigat...
Some recent theoretical accounts in the cognitive sciences suggest that prediction is necessary to understand language. Here we evaluate this proposal. We consider arguments that prediction provides a...
Many studies have shown that a supportive context facilitates language comprehension. A currently influential view is that language production may support prediction in language comprehension. Experim...
The role of neuronal oscillations during language comprehension is not yet well understood. In this paper we review and reinterpret the functional roles of beta- and gamma-band oscillatory activity d...
The notion that prediction is a fundamental principle of human information processing has been en vogue over recent years. The investigation of language processing may be particularly illuminating f...
The relationship between the production and the comprehension systems has recently become a topic of interest for many psycholinguists. It has been argued that these systems are tightly linked and i...
The effect of partial semantic feature match in forward prediction and backward retrieval.
We investigate the value-add of topic modeling in text analysis for depression, and for neuroticism as a stronglyassociated personality measure. Using Pennebaker’s Linguistic Inquiry and Word Count (L...
Markov chain Monte Carlo (MCMC) approximates the posterior distribution of latent variable models bygenerating many samples and averaging over them. In practice, however, itis often more convenient to...

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