Word class discovery for postprocessing Chinese handwriting recognition
Chao-Huang Chang · 1994
This article presents a novel Chinese class n-gram model for contextual postprocessing of haudwriting recognition results.The word classes in the model are automatically discovered by a corpus-based simulated anuealing procedure.Three other language models, least-word, word-frequency, and the powerflfl interword character bigram model, have been constructed for comparison.Extensive experiments on large text corpora show that the discovered class bigram model outperforms the other three competing models.