frequency, by the total of the item vector, ).

Hyperspace Analogue to Language (HAL)

The Hyperspace Analogue to Language (HAL) model considers context only as the words that immediately surround a given word. HAL computes an NxN matrix, where N is the number of words in its lexicon, using a 10-word reading frame that moves incrementally through a corpus of text. Like SAM, any time two words are simultaneously in the frame, the association between them is increased, that is, the corresponding cell in the NxN matrix is incremented.

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