Sensorimotor Input as a Language Generalisation Tool
Table 10: Euclidean Distances between Partial Input Matrices and Normal Training Matrix
['[EMPTY]', 'w/o Verb', 'w/o Noun', 'w/o Location']
For the second part of the experiment, the main aim was to understand the effect of a particular input modality (e.g. lexical structure and visual input) in the whole network training, by observing the visualization of the weights. We conducted an experiment with a smaller data-set (3×3) than the previous experiments, due to the fact that smaller number of weights give a better presentation for the visualization. But a similar conclusion would be extended into the larger 9×9 data-set. Figs. The weight matrices in Fig. But in Fig. To quantitatively evaluate this observation, Tab. The 2-norm was calculated by: d(Wm−Wb)= ⎷n∑i=1n∑j=1(dmij−dbij)2 (15)