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Postprocessing Statistical Language Models for a Handwritten Chinese Character Recognizer.

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Bibliographic Details
Title:	Postprocessing Statistical Language Models for a Handwritten Chinese Character Recognizer.
Authors:	Wong, Pak-Kwong, Chan, Chorkin
Source:	IEEE Transactions on Systems, Man & Cybernetics: Part B. Apr99, Vol. 29 Issue 2, p286. 6p. 1 Chart, 9 Graphs.
Subjects:	Statistical linguistics, Chinese character sets (Data processing)
Abstract:	Focuses on a study that examined two statistical language models on their effectiveness in upgrading accuracy of a Chinese character recognizer. Background information on a lexicon named WORDDATA; Maximum matching of word segmentation; Overview of a lexical analytic language model.
Database:	Engineering Source

Description
Abstract:	Focuses on a study that examined two statistical language models on their effectiveness in upgrading accuracy of a Chinese character recognizer. Background information on a lexicon named WORDDATA; Maximum matching of word segmentation; Overview of a lexical analytic language model.
ISSN:	10834419
DOI:	10.1109/3477.752802