(2014), referential meaning can be represented as a translation function that projects visual representations of objects to linguistic representations of words in a distributional vector space.
in contrast to standard object recognition systems or the other models we will use here, cross-modal mapping does not treat words as individual labels or classifiers, but learns to directly predict continuous representations of words in a vector space, such as the space defined by the word2vec embeddings that we use in this work.