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Kmeans

Implement Kmeans algorithm.

Introduce the MaxEntropy

Introduce the MaxEntropy simply.

Update ErrorWords

1. Reduce memory employed: It is a word that is regarded as unit, rather than the sentence.

2. Reduce the number of the words changed: The random probability of a word need less when one should be changed.

3. Aim: Only several words are changed in a sentence.

4. Add common words influence (high frequency words)

5. Add MaxEntropy ========================================================================================

Original Contents

The Introduction To MaxEntropy

A lot of works in the holiday

Viterbi Arithmetic

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Enjoy Contents

Wechat_DeleteFriends

Look for friends that delete my wechat

NNTransitionSegmentor

A package for Word Segmentation using neural networks based on package LibN3L

python-pinyin

Chinese to pinyin tool with Python

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