Publications associées à Syntactic category

Event-related causality in stereo-EEG discriminates syntactic processing of noun phrases and verb phrases

Objective. Syntax involves complex neurobiological mechanisms, which are difficult to disentangle for multiple reasons. Using a protocol able to separate syntactic information from sound information we investigated the neural causal connections evoked by t ...

IOP Publishing Ltd2023

Neural substrates of psychosis revealed by altered dependencies between brain activity and white-matter architecture in individuals with 22q11 deletion syndrome

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Farnaz Delavari, Karin Bortolin, Emeline Mullier

Background: Dysconnectivity has been consistently proposed as a major key mechanism in psychosis. Indeed, disruptions in large-scale structural and functional brain networks have been associated with psychotic symptoms. However, brain activity is largely c ...

ELSEVIER SCI LTD2022

High gamma response tracks different syntactic structures in homophonous phrases

Silvestro Micera, Fiorenzo Artoni

Syntax is a species-specific component of human language combining a finite set of words in a potentially infinite number of sentences. Since words are by definition expressed by sound, factoring out syntactic information is normally impossible. Here, we c ...

Nature Research2020

Discourse-level features for statistical machine translation

Thomas Meyer

Machine Translation (MT) has progressed tremendously in the past two decades. The rule-based and interlingua approaches have been superseded by statistical models, which learn the most likely translations from large parallel corpora. System design does not ...

EPFL2015

A Cognitive Reference Based Model for Learning Compositional Hierarchies with Whole-Composite Tags

Alain Wegmann, Anshuman Bahadur Saxena, Ashish Kishore Bindal

A compositional hierarchy is the default organization of knowledge acquired for the purpose of specifying the design requirements of a service. Existing methods for learning compositional hierarchies from natural language text, interpret composition as an ...

2013