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The job of language grounding is to research the relationship between language and external physical stimuli. In this paper, we build a language grounding model which is an extension of hidden Markov model. In a show-and-tell experiment, we use this model to learn the words meaning and simple bi-gram syntax, and finally generate the natural language description of special 2-D scenes automatically...
In this research we present a novel cognition language model ViMac. Through the vision system ViMac can acquire the semantic of the objects shown in 2D images and output its own description for the new images. ViMac uses prototypes as its semantic representation and use KNN method to measure the similarity between these data points in visual subspaces. The BLEU evaluation shows that this method can...
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