| # -*- coding: utf-8 -*- | |
| class Hangul: | |
| BASE_CODE = 44032 | |
| CHOSUNG = 588 | |
| JUNGSUNG = 28 | |
| # 초성 리스트. 00 ~ 18 | |
| CHOSUNG_LIST = [ | |
| 'ㄱ', 'ㄲ', 'ㄴ', 'ㄷ', 'ㄸ', 'ㄹ', 'ㅁ', 'ㅂ', 'ㅃ', |
| import json | |
| import requests | |
| def tokenize_dparser(text): | |
| dparser_link = 'http://parser.datanada.com/parse?version=1&string=' | |
| url = dparser_link+text | |
| response = requests.get(url) |
| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function |
| import csv | |
| import os | |
| def get_csv_writer(filename, rows, delimiter): | |
| with open(filename, 'w') as csvfile: | |
| fieldnames = rows[0].keys() | |
| writer = csv.DictWriter(csvfile, fieldnames=fieldnames, delimiter=delimiter) | |
| writer.writeheader() | |
| for row in rows: | |
| try: |
| sudo apt-get upgrade | |
| sudo apt-get update | |
| sudo pip install jupyter notebook | |
| jupyter notebook --generate-config | |
| ipython | |
| from notebook.auth import passwd | |
| passwd() |
With NLTK version 3.1 and Stanford NER tool 2015-12-09, it is possible to hack the StanfordNERTagger._stanford_jar to include other .jar files that are necessary for the new tagger.
First set up the environment variables as per instructed at https://github.com/nltk/nltk/wiki/Installing-Third-Party-Software
| from __future__ import print_function | |
| ''' | |
| Basic Multi GPU computation example using TensorFlow library. | |
| Author: Aymeric Damien | |
| Project: https://github.com/aymericdamien/TensorFlow-Examples/ | |
| ''' | |
| ''' | |
| This tutorial requires your machine to have 1 GPU | |
| "/cpu:0": The CPU of your machine. |
| from __future__ import print_function | |
| ''' | |
| Basic Multi GPU computation example using TensorFlow library. | |
| Author: Aymeric Damien | |
| Project: https://github.com/aymericdamien/TensorFlow-Examples/ | |
| ''' | |
| ''' | |
| This tutorial requires your machine to have 2 GPUs | |
| "/cpu:0": The CPU of your machine. |
| # Note – this is not a bash script (some of the steps require reboot) | |
| # I named it .sh just so Github does correct syntax highlighting. | |
| # | |
| # This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5 | |
| # | |
| # The CUDA part is mostly based on this excellent blog post: | |
| # http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/ | |
| # Install various packages | |
| sudo apt-get update |