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In this paper, we present a letter tagging approach(LTA) to Uyghur tokenization. Experiments show that the problem with label bias (rich and complex suffixes) problem to be resolved using LTA combined with CRFs, so it is more effective than previous work, the accuracy of word tokenization reaches 93.3%. In future our tokenization research will be very useful to other Altaic languages information processing.
Based on the general syllable structure, a syllable's component letters should be expanded orderly into the series of basic consonant, prefix consonant, head consonant... and the second suffix consonant. If there is no letter in a syllable's particular position, a special character, whose collation element is less than that of any Tibetan letter, should be used in the corresponding position of the...
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