Yam(长琴) hscspring

## 结巴词性标记集
- a 形容词
	- ad 副形词
	- ag 形容词性语素
	- an 名形词
- b 区别词
- c 连词
- d 副词
	- df
	- dg 副语素
- e 叹词

## 词性标记.md

      
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                hscspring
                / 词性标记.md
            
            
              Created
              May 4, 2017 07:24
                — forked from luw2007/词性标记.md
            
              
                词性标记： 包含 ICTPOS3.0词性标记集、ICTCLAS 汉语词性标注集、jieba 字典中出现的词性、simhash 中可以忽略的部分词性
              
          
    词的分类


实词：名词、动词、形容词、状态词、区别词、数词、量词、代词
虚词：副词、介词、连词、助词、拟声词、叹词。

ICTPOS3.0词性标记集

n 名词

nr 人名

  
## gist:350f4886f20c91e47ded42e7549b267f
"""
This is a batched LSTM forward and backward pass
"""
import numpy as np
import code

class LSTM:

  @staticmethod
  def init(input_size, hidden_size, fancy_forget_bias_init = 3):

## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)
	- a 形容词
	- ad 副形词
	- ag 形容词性语素
	- an 名形词
	- b 区别词
	- c 连词
	- d 副词
	- df
	- dg 副语素
	- e 叹词
	"""
	This is a batched LSTM forward and backward pass
	"""
	import numpy as np
	import code

	class LSTM:

	@staticmethod
	def init(input_size, hidden_size, fancy_forget_bias_init = 3):
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)