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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"%matplotlib inline\n", | |
"import pandas as pd\n", |
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# -*- coding: utf-8 -*- | |
from nltk.tree import Tree | |
from nltk.tree import ParentedTree | |
from nltk.tree import ImmutableParentedTree | |
def main(): | |
tree = ImmutableParentedTree.fromstring("(ROOT (S (NP (NNP Dog)) (VP (VBZ likes) (NP (NN cat))) (. .)))") | |
t = tree.leaf_treeposition(1) | |
x = tree.leaf_treeposition(2) |
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text = open("00001.dict", encoding="shift-jis").read() | |
tree = etree.fromstring(text.encode("shift-jis")) | |
print(etree.tostring(tree, encoding="utf-8", xml_declaration=True, doctype="<!DOCTYPE gda>").decode("utf8")) |
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# -*- coding: utf-8 -*- | |
""" | |
docomoの言語解析API(固有表現抽出)を叩くサンプルコード | |
""" | |
import requests | |
import json | |
BASEURL = "https://api.apigw.smt.docomo.ne.jp/gooLanguageAnalysis/v1/entity?APIKEY=" | |
APIKEY = "YOUR APIKEY" #ここにAPIKEYを入力 |
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# -*- coding: utf-8 -*- | |
""" | |
Chainerを用いた多層パーセプトロンの実装 | |
多分に参考にしました: https://github.com/ichiroex/xor-mlp-chainer | |
""" | |
import sys | |
import numpy as np | |
import chainer | |
from chainer import cuda, Function, gradient_check, Variable, optimizers, serializers, utils | |
from chainer import Link, Chain, ChainList |
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# -*- coding: utf-8 -*- | |
""" | |
お手製のニューラルネットワーク | |
トレーニング編 | |
""" | |
import sys | |
import numpy as np | |
from collections import defaultdict | |
def create_features(line, ids): |
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# -*- coding: utf-8 -*- | |
""" | |
""" | |
import numpy as np | |
def sigmoid(x): | |
return 1./(1.+np.exp(-x)) | |
def sigmoid_deriv(x): | |
return x * (1.0 - x) |
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<?xml version="1.0" encoding="UTF-8" standalone="yes"?> | |
<a:fontScheme xmlns:a="http://schemas.openxmlformats.org/drawingml/2006/main" name="ヒラギノ角ゴ+Avenir"><a:majorFont><a:latin typeface="Avenir Next"/><a:ea typeface="Hiragino Kaku Gothic ProN W3"/><a:cs typeface=""/></a:majorFont><a:minorFont><a:latin typeface="Avenir Next"/><a:ea typeface="Hiragino Kaku Gothic ProN W3"/><a:cs typeface=""/></a:minorFont></a:fontScheme> |