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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

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hscspring / gist:350f4886f20c91e47ded42e7549b267f
Created April 11, 2017 08:06 — forked from karpathy/gist:587454dc0146a6ae21fc
An efficient, batched LSTM.
"""
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):
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hscspring / min-char-rnn.py
Created April 11, 2017 08:06 — forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
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)