Figure 4 - uploaded by Alireza Mahmoudi Kamelabad
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Overlapping choices of the different selection mechanisms for images in the validation set during training. Overlap scores are averaged over the 20 models in the random condition.

Overlapping choices of the different selection mechanisms for images in the validation set during training. Overlap scores are averaged over the 20 models in the random condition.

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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...

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Context 1
... models in the input selection conditions are necessarily shaped by the selection mechanism with which they were trained, we decide to do this analysis on models trained in the random condition. The results of this analysis are illustrated in Figure 4. Each line represents the number of images for which two, or all three mechanisms made the same choice, averaged over all 20 models in the random condition. ...

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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...