Search Results for author: Jean-Pierre Chevrot

Found 4 papers, 1 papers with code

Catplayinginthesnow: Impact of Prior Segmentation on a Model of Visually Grounded Speech

no code implementations CONLL 2020 William N. Havard, Jean-Pierre Chevrot, Laurent Besacier

The language acquisition literature shows that children do not build their lexicon by segmenting the spoken input into phonemes and then building up words from them, but rather adopt a top-down approach and start by segmenting word-like units and then break them down into smaller units.

Image Retrieval Language Acquisition +1

Word Recognition, Competition, and Activation in a Model of Visually Grounded Speech

no code implementations CONLL 2019 William N. Havard, Jean-Pierre Chevrot, Laurent Besacier

In this paper, we study how word-like units are represented and activated in a recurrent neural model of visually grounded speech.

Models of Visually Grounded Speech Signal Pay Attention To Nouns: a Bilingual Experiment on English and Japanese

1 code implementation8 Feb 2019 William N. Havard, Jean-Pierre Chevrot, Laurent Besacier

We investigate the behaviour of attention in neural models of visually grounded speech trained on two languages: English and Japanese.

Retrieval

Socioeconomic Dependencies of Linguistic Patterns in Twitter: A Multivariate Analysis

no code implementations3 Apr 2018 Jacob Levy Abitbol, Márton Karsai, Jean-Philippe Magué, Jean-Pierre Chevrot, Eric Fleury

Our usage of language is not solely reliant on cognition but is arguably determined by myriad external factors leading to a global variability of linguistic patterns.

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