Lieke Gelderloos

Lieke Gelderloos
Tilburg University | UVT · Tilburg Center for Cognition and Communication "TiCC"

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11
Publications
794
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164
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Publications

Publications (11)
Preprint
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The distributed and continuous representations used by neural networks are at odds with representations employed in linguistics, which are typically symbolic. Vector quantization has been proposed as a way to induce discrete neural representations that are closer in nature to their linguistic counterparts. However, it is not clear which metrics are...
Conference Paper
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Cognitive models of child word learning in general, and cross-situational models in particular, characterize the learner as a passive observer. But children are curious and actively participate in verbal and non-verbal communication, and often introduce new topics which parents are likely to follow up (Bloom et al., 1996). We investigate the potent...
Conference Paper
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Models of cross-situational word learning typically characterize the learner as a passive observer, but a language learning child can actively participate in verbal and non-verbal communication. We present a computational study of cross-situational word learning to investigate whether a curious word learner who actively influences linguistic input...
Preprint
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Speech directed to children differs from adult-directed speech in linguistic aspects such as repetition, word choice, and sentence length, as well as in aspects of the speech signal itself, such as prosodic and phonemic variation. Human language acquisition research indicates that child-directed speech helps language learners. This study explores t...
Preprint
This paper introduces the PhotoBook dataset, a large-scale collection of visually-grounded, task-oriented dialogues in English designed to investigate shared dialogue history accumulating during conversation. Taking inspiration from seminal work on dialogue analysis, we propose a data-collection task formulated as a collaborative game prompting two...
Conference Paper
Full-text available
This paper introduces the PhotoBook dataset, a large-scale collection of visually-grounded, task-oriented dialogues in English designed to investigate shared dialogue history accumulating during conversation. Taking inspiration from seminal work on dialogue analysis, we propose a data-collection task formulated as a collaborative game prompting two...
Article
The bulk of research in the area of speech processing concerns itself with supervised approaches to transcribing spoken language into text. In the domain of unsupervised learning most work on speech has focused on discovering relatively low level constructs such as phoneme inventories or word-like units. This is in contrast to research on written l...
Article
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We present a model of visually-grounded language learning based on stacked gated recurrent neural networks which learns to predict visual features given an image description in the form of a sequence of phonemes. The learning task resembles that faced by human language learners who need to discover both structure and meaning from noisy and ambiguou...

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