Efforts to understand the brain bases of language face the Map** Problem: At what level
do linguistic computations and representations connect to human neurobiology? We review …

Neural language models are increasingly valued in computational psycholinguistics, due to
their ability to provide conditional probability distributions over the lexicon that are predictive …

Aspect-based sentiment analysis (ABSA) predicts sentiment polarity towards a specific
aspect in the given sentence. While pre-trained language models such as BERT have …

Historically, prediction during reading has been considered an inefficient and cognitively
expensive processing mechanism given the inherently generative nature of language, which …

The integration of word meaning into an unfolding utterance representation is a core
operation of incremental language comprehension. There is considerable debate, however …

The language comprehension system preferentially assumes that agents come first during
incremental processing. While this might reflect a biologically fixed bias, shared with other …

Expectation-based theories of language processing, such as Surprisal theory, are supported
by evidence of anticipation effects in both behavioural and neurophysiological measures …

Computational psycholinguistics is concerned with the development of computational
models of the cognitive mechanisms and representations that underlie language processing …

Much inquiry in psycholinguistics has focused on evidence from the N400 and P600
components of the event-related potential (ERP) signal—and a central theoretical challenge …

Prediction is one characteristic of the human mind. But what does it mean to say the mind is
a “prediction machine” and inherently forward looking as is frequently claimed? In natural …