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Table 3 Mean contribution of algorithms to word sense disambiguation (smoothing) and ranking

From: A UMLS-based spell checker for natural language processing in vaccine safety

SMOOTHING ALGORITHM TRAINING SET n = 12,056 TEST SET n = 8,131
Concept 12% 13%
Homonym 1% 1%
N-Gram 55% 53%
Metaphone 5% 4%
Length 14% 14%
Part-of-speech 10% 11%
History 3% 4%
TOTAL 100% 100%