Publications related to Syntactic category

Silvestro Micera, Fiorenzo Artoni

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 PUBLISHING GROUP2020

Harmonic Syntax in Time: Rhythm Improves Grammatical Models of Harmony

Martin Alois Rohrmeier, Daniel Harasim

Music is hierarchically structured, both in how it is perceived by listeners and how it is composed. Such structure can be elegantly captured using probabilistic grammatical models similar to those used to study natural language. They address the complexit ...

ISMIR2019

Squid: Type-Safe, Hygienic, and Reusable Quasiquotes

Christoph Koch, Amir Shaikhha, Lionel Emile Vincent Parreaux

Quasiquotes have been shown to greatly simplify the task of metaprogramming. This is in part because they hide the data structures of the intermediate representation (IR), instead allowing metaprogrammers to use the concrete syntax of the language they man ...

ACM2017

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 The rule-based and interlingua approaches have been superseded by statistical models, which learn the most likely translations from large parallel corpora.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 ...

École Polytechnique Fédérale de Lausanne (EPFL)2014

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

Associative vocabulary learning: development and testing of two paradigms for the (re-) acquisition of action- and object-related words

Friedhelm Christoph Hummel

Despite a growing number of studies, the neurophysiology of adult vocabulary acquisition is still poorly understood. One reason is that paradigms that can easily be combined with neuroscientfic methods are rare. Here, we tested the efficiency of two paradi ...

Public Library of Science2012

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Syntactic category

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

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

High gamma response tracks different syntactic structures in homophonous phrases

Harmonic Syntax in Time: Rhythm Improves Grammatical Models of Harmony

Squid: Type-Safe, Hygienic, and Reusable Quasiquotes

Discourse-level features for statistical machine translation

Discourse-level Features for Statistical Machine Translation

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

Associative vocabulary learning: development and testing of two paradigms for the (re-) acquisition of action- and object-related words

Body schematics: on the role of the body schema in embodied lexical-semantic representations

Graph Chatbot

Chat with Graph Search

Squid: Type-Safe, Hygienic, and Reusable Quasiquotes

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

Harmonic Syntax in Time: Rhythm Improves Grammatical Models of Harmony

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

High gamma response tracks different syntactic structures in homophonous phrases

Discourse-level Features for Statistical Machine Translation

Associative vocabulary learning: development and testing of two paradigms for the (re-) acquisition of action- and object-related words

Discourse-level features for statistical machine translation

Body schematics: on the role of the body schema in embodied lexical-semantic representations

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