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.
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.
1 code implementation • 8 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.
no code implementations • 3 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.