In future studies we hope to compare the present approach to architectures with domain-specific conceptual memories.
for each concept w in CSLB, we then construct a feature bag b(w) by appending lexical forms to b(w) such that the count of each feature word is equal to the strength of that feature for w. when features are sampled from b(w) to create pseudo-sentences (as detailed previously) the probability of a feature word occurring in a sentence reflects feature strength.