We address the problem of predicting a word from previous words in a sample of text. In particular, we discuss n-gram models based on classes of words. We also discuss several statistical algorithms for assigning words to classes based on the fre

文本分类方法总结：Swap-1方法、n-gram方法、Bayes分类-Text Categorization Method summary: Swap-1 method, the n-gram method, Bayes classification, etc.

基于n-gram和机器学习的汉语分词算法 理论研究-Chinese word segmentation