AN EVALUATION BASED ALGORITHM FOR TAGGING POS OF CHINESE CORPUS WITH A PURE PROBABILISTIC MODEL
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Abstract
An evaluation based algorithm is proposed to tag the part of speech (POS) of Chinese words with a pure probabilistic model.In the algorithm, the “confidence intervals” in the estimation of parameters is employed to construct a dynamic evaluation function. The test reveals that the algorithm can guarantee its defined high accuracy, as well as a definite applicability. When its precision is 94.8%,the recall (applicability) can reach 81.5%.
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