Several studies (eg, Wicha et al., 2003b; DeLong et al., 2005) have shown that readers use
information from the sentential context to predict nouns (or some of their features), and that …

We investigate the extent to which word surprisal can be used to predict a neural measure of
human language processing difficulty-the N400. To do this, we use recurrent neural …

Any proposal for predictive language comprehension must address receipt of less expected
information. While a relationship between the N400 and sentence predictability is well …

The processing difficulty of each word we encounter in a sentence is affected by both our
prior linguistic experience and our general knowledge about the world. Computational …

An important question in predictive language processing is the extent to which prediction
effects can reliably be measured on pre-nominal material (eg articles before nouns). Here …

We used Magnetoencephalography (MEG) in combination with Representational Similarity
Analysis to probe neural activity associated with distinct, item-specific lexico-semantic …

The extent to which language processing involves prediction of upcoming inputs remains a
question of ongoing debate. One important data point comes from who reported that an …

Prediction can help support rapid language processing. However, it is unclear whether
prediction has downstream consequences, beyond processing in the moment. In particular …

Spoken word recognition in context is remarkably fast and accurate, with recognition times
of∼ 200 ms, typically well before the end of the word. The neurocomputational mechanisms …

Sentence-final completion tasks serve as valuable tools in studying language processing
and the associated predictive mechanisms. There are several established sentence …