Application of Noun Algorithm to the Word “kolper”

In Contextual Vocabulary Acquisition (CVA), neologisms can be learnt from sentences. These sentences and their related background knowledge should provide a proper context in order to apply CVA techniques. In Daalen-Kapteins 1981[1] a set, consisting of a word and five sentences. They were studied in order to understand, how different groups of individuals could obtain the meaning of the word from the five sentences where that word was used. That word, “kolper”, was used in every sentence, each one giving a chunk of information about its meaning. This project tries to emulate Daalen-Kapteins research, constrained to only one sentence. This emulation is achieved by representing the sentence and the proper background knowledge in SNePS, whose knowledge representation structures consists of semantic networks; followed by the noun algorithm to organize information.