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

This review compares how humans process action and language sequences produced by
other humans. On the one hand, we identify commonalities between action and language …

Abstract Language models based on artificial neural networks increasingly capture key
aspects of how humans process sentences. Most notably, model-based surprisals predict …

Planning to speak is a challenge for the brain, and the challenge varies between and within
languages. Yet, little is known about how neural processes react to these variable …

The question of apparent discrepancies in short-term memory capacity for sign language
and speech has long presented difficulties for the models of verbal working memory. While …

Acquisition of natural language has been shown to fundamentally impact both one's ability
to use the first language and the ability to learn subsequent languages later in life. Sign …

Comprehenders across languages tend to interpret role-ambiguous arguments as the
subject or the agent of a sentence during parsing. However, the evidence for such a …

One of the key questions in the study of human language acquisition is the extent to which
the development of neural processing networks for different components of language are …

To investigate the role of verbs in sentence production, the experiment reported here
employed a simple sentence elicitation technique based on separate elicitor images for the …

The preference of the human parser for interpreting syntactically ambiguous sentence-initial
arguments as the subject of a clause (ie subject preference) has been documented for …