Inproceedings,

Independent Component Analysis of Word Contexts and Comparison with Traditional Categories

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Proceedings of the 6th Nordic Signal Processing Symposium (NORSIG 2004), 46, page 300--303. (2004)

Abstract

We study written language as if it were a multidimensional signal rather than a stream of symbols. We show that it is possible to find emergent features by independent component analysis from word contexts. The closeness of match between the learned features and traditional linguistic word categories is examined. It is shown that independent component analysis performs better than principle component analysis.

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