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Identification and Rejection of Meaningless Input During Natural Language Classification
Identification and Rejection of Meaningless Input During Natural Language Classification
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机译：自然语言分类中无意义输入的识别与拒绝
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摘要
A method for identifying data that is meaningless and generating a natural language statistical model which can reject meaningless input. The method can include identifying unigrams that are individually meaningless from a set of training data. At least a portion of the unigrams identified as being meaningless can be assigned to a first n-gram class. The method also can include identifying bigrams that are entirely composed of meaningless unigrams and determining whether the identified bigrams are individually meaningless. At least a portion of the bigrams identified as being individually meaningless can be assigned to the first n-gram class.
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