In [1]:
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
In [2]:
torch.manual_seed(1)
Out[2]:
<torch._C.Generator at 0x116d4dfa8>
In [3]:
# ベクトルからテンソルへの変換
V_data = [1., 2., 3.]
V = torch.Tensor(V_data)
print(V)
1
2
3
[torch.FloatTensor of size 3]
In [4]:
# テンソルの転置
print(V.view(1,-1))
1 2 3
[torch.FloatTensor of size 1x3]
In [5]:
# ２次元行列からテンソルへの変換
M_data = [[1., 2., 3.], [4., 5., 6]]
M = torch.Tensor(M_data)
print(M)
1 2 3
4 5 6
[torch.FloatTensor of size 2x3]
In [6]:
print (M[0])
1
2
3
[torch.FloatTensor of size 3]
In [7]:
# テンソルの転置
print(torch.t(M))
1 4
2 5
3 6
[torch.FloatTensor of size 3x2]
In [8]:
#3次元行列からテンソルへの変換
T_data = [[[1.,2.], [3.,4.]],
[[5.,6.], [7.,8.]]]
T = torch.Tensor(T_data)
print(T)
(0 ,.,.) =
1 2
3 4
(1 ,.,.) =
5 6
7 8
[torch.FloatTensor of size 2x2x2]
In [9]:
print (T[0])
1 2
3 4
[torch.FloatTensor of size 2x2]
In [10]:
# 乱数の生成 (3x4x5 行列)
x = torch.randn((3, 4, 5))
print (x)
(0 ,.,.) =
-2.9718 1.7070 -0.4305 -2.2820 0.5237
0.0004 -1.2039 3.5283 0.4434 0.5848
0.8407 0.5510 0.3863 0.9124 -0.8410
1.2282 -1.8661 1.4146 -1.8781 -0.4674
(1 ,.,.) =
-0.7576 0.4215 -0.4827 -1.1198 0.3056
1.0386 0.5206 -0.5006 1.2182 0.2117
-1.0613 -1.9441 -0.9596 0.5489 -0.9901
-0.3826 1.5037 1.8267 0.5561 1.6445
(2 ,.,.) =
0.4973 -1.5067 1.7661 -0.3569 -0.1713
0.4068 -0.4284 -1.1299 1.4274 -1.4027
1.4825 -1.1559 1.6190 0.9581 0.7747
0.1940 0.1687 0.3061 1.0743 -1.0327
[torch.FloatTensor of size 3x4x5]
In [11]:
# テンソルの和
x = torch.Tensor([ 1., 2., 3. ])
y = torch.Tensor([ 4., 5., 6. ])
z1 = x + y
z2 =torch.add(x,y)
print (z1)
print (z2)
5
7
9
[torch.FloatTensor of size 3]
5
7
9
[torch.FloatTensor of size 3]
In [12]:
# テンソルの積
x = torch.Tensor([ 1., 2., 3. ])
y = torch.Tensor([ 4., 5., 6. ])
z1 = x * y
z2 =torch.mul(x,y)
z3 = torch.dot(x,y)
print (z1)
print (z2)
print (z3)
4
10
18
[torch.FloatTensor of size 3]
4
10
18
[torch.FloatTensor of size 3]
32.0
In [13]:
# 行結合
x_1 = torch.randn(2, 5)
y_1 = torch.randn(3, 5)
z_1 =torch.cat([x_1, y_1])
print(x_1)
print(y_1)
print(z_1)
1.0930 0.7769 -1.3128 0.7099 0.9944
-0.2694 -0.6491 -0.1373 -0.2954 -0.7725
[torch.FloatTensor of size 2x5]
-0.2215 0.5074 -0.6794 -1.6115 0.5230
-0.8890 0.2620 0.0302 0.0013 -1.3987
1.4666 -0.1028 -0.0097 -0.8420 -0.2067
[torch.FloatTensor of size 3x5]
1.0930 0.7769 -1.3128 0.7099 0.9944
-0.2694 -0.6491 -0.1373 -0.2954 -0.7725
-0.2215 0.5074 -0.6794 -1.6115 0.5230
-0.8890 0.2620 0.0302 0.0013 -1.3987
1.4666 -0.1028 -0.0097 -0.8420 -0.2067
[torch.FloatTensor of size 5x5]
In [14]:
# 列結合
x_2 = torch.randn(2, 3)
y_2 = torch.randn(2, 5)
z_2 = torch.cat([x_2, y_2], 1)
print(x_2)
print(y_2)
print(z_2)
1.0672 0.1732 -0.6873
0.3111 0.2358 -1.0658
[torch.FloatTensor of size 2x3]
0.3620 0.3776 -0.2443 -0.5850 2.0812
-0.1186 0.4903 0.8349 0.8894 0.4148
[torch.FloatTensor of size 2x5]
1.0672 0.1732 -0.6873 0.3620 0.3776 -0.2443 -0.5850 2.0812
0.3111 0.2358 -1.0658 -0.1186 0.4903 0.8349 0.8894 0.4148
[torch.FloatTensor of size 2x8]
In [15]:
#テンソルの整形
x = torch.randn(2, 3, 4)
print (x.size())
print (x.view(2, 12).size()) # Reshape to 2 rows, 12 columns
print (x.view(2, -1).size()) # -1 を指定すると、12になることを推測してくれる
torch.Size([2, 3, 4])
torch.Size([2, 12])
torch.Size([2, 12])
In [16]:
#テンソルからautograd変数への変換
x = autograd.Variable( torch.Tensor([1., 2., 3]), requires_grad=True )
y = autograd.Variable( torch.Tensor([4., 5., 6]), requires_grad=True )
z = x + y
print(x)
print(y)
print(z)
Variable containing:
1
2
3
[torch.FloatTensor of size 3]
Variable containing:
4
5
6
[torch.FloatTensor of size 3]
Variable containing:
5
7
9
[torch.FloatTensor of size 3]
In [17]:
# zの微分関数
print(z.grad_fn)
<torch.autograd.function.AddBackward object at 0x11f698048>
In [18]:
# もちろん微分関数は単純なテンソル和からは得られない
# z2 = torch.Tensor([1., 2., 3]) + torch.Tensor([4., 5., 6])
# print(z2.grad_fn) => AttributeError: 'torch.FloatTensor' object has no attribute 'grad_fn'
In [19]:
# 総和とその微分関数
s = z.sum()
print (s)
print (s.grad_fn)
Variable containing:
21
[torch.FloatTensor of size 1]
<torch.autograd.function.SumBackward object at 0x11f698318>
In [20]:
# 誤差逆伝播を実行すると微分係数（勾配）が得られる
s.backward()
print(x.grad)
Variable containing:
1
1
1
[torch.FloatTensor of size 3]
In [21]:
#上記の例は少しわかりにくいので、gradについて公式チュートリアルからもう一度引用
from torch.autograd import Variable
x = Variable(torch.ones(2, 2), requires_grad=True)
print(x)
Variable containing:
1 1
1 1
[torch.FloatTensor of size 2x2]
In [22]:
# Variable を使った関数を作ると、その導関数も生成できる（微分可能となる）
y = x + 2 #線形関数
print(y)
print(y.grad_fn)
Variable containing:
3 3
3 3
[torch.FloatTensor of size 2x2]
<torch.autograd.function.AddConstantBackward object at 0x11f698408>
In [23]:
# もう少し複雑な関数にしてみる
z = y * y * 3
print(z)
# この平均値は
out = z.mean()
print(out)
Variable containing:
27 27
27 27
[torch.FloatTensor of size 2x2]
Variable containing:
27
[torch.FloatTensor of size 1]
これを数式で書くと $$\\ out = \frac{1}{4}\sum_{i}^{4}(z_{i})\\ \frac{dz}{dx} = 3y^2 = 3(x+2)^2\\ \frac{dout}{dx} = \frac{3}{4}(x+2)^2\\ $$
ここで、 $$\\ x_{i}=1\\ $$ なので $$\\ \frac{dout}{dx} = \frac{3}{4}(1+2)^2=4.5\\ $$
検証のためにout.backward(torch.Tensor([1.0]))を実施して上記の微分値を得る。これは省略形でout.backward()と記載できる
In [24]:
out.backward()
print(x.grad)
Variable containing:
4.5000 4.5000
4.5000 4.5000
[torch.FloatTensor of size 2x2]
これが微分係数（xが1増加時のout増加分）もしくは勾配となる
アフィン写像（Affine Map）と呼ばれる以下の線形写像がモデルの基本関数となる
f(x) = Ax +b
ここでAが重み、bがバイアスに相当する
以下の例では 生成した128x20 行列を線形写像20x30により、128x30に変換している。
In [25]:
m = nn.Linear(20, 30)
input = autograd.Variable(torch.randn(128, 20))
print(input)
Variable containing:
-1.0952e+00 -4.1932e-01 -1.0777e+00 ... 2.4416e-03 -2.2539e+00 -6.4464e-01
1.7864e-01 1.9284e+00 7.2078e-01 ... -8.6716e-01 8.0396e-01 -1.5670e-03
-1.7602e+00 -2.1577e+00 -1.5129e-01 ... 2.1194e-01 1.1681e+00 -1.6485e-01
... ⋱ ...
-1.1335e+00 -3.4707e-01 8.6054e-01 ... 9.2600e-02 8.5840e-02 1.1302e+00
-8.1309e-01 -8.1347e-01 1.0413e-01 ... -5.9543e-01 1.0970e+00 -1.8770e+00
-3.3369e-01 -8.3442e-01 -1.1545e+00 ... -2.4436e-01 -1.0596e+00 -4.8251e-01
[torch.FloatTensor of size 128x20]
In [26]:
output = m(input)
print(output)
Variable containing:
1.0315 -0.1959 0.2947 ... -0.5590 0.2478 -0.6172
-0.3280 0.4189 0.6461 ... 0.5620 0.3881 0.3635
-0.4964 0.3053 0.0147 ... -0.3703 0.2519 0.8713
... ⋱ ...
0.8786 -0.8217 -0.2958 ... -0.0263 -0.6852 0.6728
-0.6030 -0.2459 0.7688 ... 0.3162 0.6670 -0.0896
1.0281 0.2189 0.3814 ... -0.0358 2.2958 -0.2754
[torch.FloatTensor of size 128x30]
アクティベーションに必要となる非線形関数もビルトインとして用意されている。
例えば、正規化線形関数である
ReLU(x)=max(0,x)
を使って、以下の通り非線形変換できる
In [27]:
m = nn.ReLU()
input = autograd.Variable(torch.Tensor([[1.3, 2.0, 0.9],[-1.3, -0.2, 0.1]]), requires_grad=True )
print(input)
Variable containing:
1.3000 2.0000 0.9000
-1.3000 -0.2000 0.1000
[torch.FloatTensor of size 2x3]
In [28]:
output = m(input)
print(output)
Variable containing:
1.3000 2.0000 0.9000
0.0000 0.0000 0.1000
[torch.FloatTensor of size 2x3]
ReLUでは負の値は全て0に変換されているのが確認できる
またReLUは微分可能なので、outputの微分関数も得ることが可能
In [29]:
print(output.grad_fn)
<torch.autograd.function.ThresholdBackward object at 0x11f6989a8>
こうした非線形関数は活性化のために使用されているが、ニューラルネットワークの最終層では別の非線形関数Softmaxが使われることが多い。
これはK次元の実数ベクトルzをK次元の確率分布ベクトルσ(z)に変換し、値の範囲は[0, 1]に収められる
数式で表すと以下の通りとなる
上記では
$$e^{i}$$
で正の値に非線形写像変換した後
$$\displaystyle\sum_{j}e^{j}$$
にて0-1の範囲に正規化しているのがわかる
チュートリアルを参考に、言語判別のためのネットワークを組んでみる
In [30]:
data = [("Eat already anot".lower().split(), "SINGLISH"),
("Have you eaten already".lower().split(), "ENGLISH"),
("Dun anyhow touch here touch there leh".lower().split(), "SINGLISH"),
("Please don’t mess with my things".lower().split(), "ENGLISH"),
("Wa the weather so hot really buay tahan".lower().split(), "SINGLISH"),
("It is too hot. I can't stand it any more".lower().split(), "ENGLISH"),
("damn paiseh sia".lower().split(), "SINGLISH"),
("I feel embrassed".lower().split(), "ENGLISH"),
]
test_data = [("Paiseh, got already anot? Wa GG, they say this year economy very bad leh.".lower().split(), "SINGLISH"),
("Have you got already? Something bad is going to happen.".lower().split(), "ENGLISH")]
In [31]:
# wordをIDへ変換
word_to_ix = {}
for sent, _ in data + test_data:
for word in sent:
if word not in word_to_ix:
word_to_ix[word] = len(word_to_ix)
print (word_to_ix)
{'dun': 6, 'with': 15, 'already': 1, 'something': 53, 'paiseh,': 40, 'sia': 37, 'buay': 24, 'eaten': 5, 'weather': 20, 'leh.': 51, 'really': 23, 'i': 30, 'wa': 18, 'say': 45, 'more': 34, 'leh': 11, 'year': 47, 'they': 44, 'anyhow': 7, 'any': 33, 'don’t': 13, "can't": 31, 'got': 41, 'already?': 52, 'there': 10, 'it': 26, 'gg,': 43, 'too': 28, 'you': 4, 'happen.': 56, 'bad': 50, 'hot.': 29, 'hot': 22, 'to': 55, 'please': 12, 'tahan': 25, 'stand': 32, 'so': 21, 'touch': 8, 'anot?': 42, 'eat': 0, 'the': 19, 'this': 46, 'damn': 35, 'anot': 2, 'embrassed': 39, 'very': 49, 'paiseh': 36, 'here': 9, 'economy': 48, 'feel': 38, 'my': 16, 'things': 17, 'going': 54, 'have': 3, 'is': 27, 'mess': 14}
In [32]:
# ワードリストのサイズとラベル数を定義
VOCAB_SIZE = len(word_to_ix)
NUM_LABELS = 2
In [33]:
# nn.Module!を継承して、Bug Of Words 分類器を生成
class BoWClassifier(nn.Module):
def __init__(self, num_labels, vocab_size):
super(BoWClassifier, self).__init__()
# 入力サイズ： vocab_size
# 出力サイズ： num_labels
self.linear = nn.Linear(vocab_size, num_labels)
def forward(self, bow_vec):
#アフィン写像関数を経由してソフトマックス関数(log版)へ渡される。
return F.log_softmax(self.linear(bow_vec))
In [34]:
model = BoWClassifier(NUM_LABELS, VOCAB_SIZE)
In [35]:
# パラメータにはワード数（VOCAB_SIZE）x ラベル数（NUM_LABELS）重み行列とサイズ２のバイアスベクトルが含まれる
for param in model.parameters():
print(param)
Parameter containing:
Columns 0 to 9
0.0332 -0.0032 -0.0641 -0.1176 0.0400 -0.0710 -0.0341 0.0933 -0.0544 0.0314
0.0324 -0.0685 0.1205 0.1004 -0.0923 0.1254 0.0441 0.0279 -0.0375 0.1262
Columns 10 to 19
0.1091 0.0391 0.1172 0.0109 0.0301 0.0210 -0.0756 -0.0603 0.1164 -0.0018
0.0943 -0.1209 -0.0776 0.1188 0.0832 -0.0500 0.1119 0.0792 -0.0352 0.0823
Columns 20 to 29
0.0663 -0.1296 0.0665 -0.0098 -0.0764 0.0086 0.0875 0.0863 -0.0689 -0.1072
0.0041 0.0954 -0.1205 -0.0110 -0.1293 0.1141 0.1039 -0.0641 -0.0167 0.1151
Columns 30 to 39
0.0349 -0.0304 0.0558 -0.0605 0.0642 -0.0688 -0.0291 0.1245 0.0688 -0.0202
0.1185 0.0316 0.0093 0.1286 0.0141 -0.1238 0.0060 0.0596 -0.0345 0.0174
Columns 40 to 49
0.1067 -0.0497 0.0232 -0.0361 -0.1085 0.0344 -0.0983 0.0154 -0.1046 -0.0868
0.0089 -0.0020 0.0939 -0.0638 0.1010 -0.0459 0.1228 -0.0664 0.0279 -0.0744
Columns 50 to 56
-0.0867 0.0504 -0.0990 0.0910 0.0737 -0.0887 -0.1220
0.0655 0.0794 0.0750 0.0006 -0.0662 -0.1104 0.0936
[torch.FloatTensor of size 2x57]
Parameter containing:
0.0734
0.1181
[torch.FloatTensor of size 2]
In [36]:
# ワード出現頻度ベクトルを生成
def make_bow_vector(sentence, word_to_ix):
# word_to_ix辞書に登録された単語数分のゼロベクトルを生成
vec = torch.zeros(len(word_to_ix))
for word in sentence:
vec[word_to_ix[word]] += 1
# 列ベクトルから行ベクトルへ変換
return vec.view(1, -1)
In [37]:
bow_vector = make_bow_vector(" You can't eat there".lower().split(),word_to_ix)
print(bow_vector)
Columns 0 to 12
1 0 0 0 1 0 0 0 0 0 1 0 0
Columns 13 to 25
0 0 0 0 0 0 0 0 0 0 0 0 0
Columns 26 to 38
0 0 0 0 0 1 0 0 0 0 0 0 0
Columns 39 to 51
0 0 0 0 0 0 0 0 0 0 0 0 0
Columns 52 to 56
0 0 0 0 0
[torch.FloatTensor of size 1x57]
In [38]:
# autograd.Variableで自動微分用変数に変換したのち、未訓練モデルに代入する
# 出力は SINGLISHの確率とENGLISHの確率（高い値の方に分類される）
log_probs = model(autograd.Variable(bow_vector))
print(log_probs)
Variable containing:
-0.6728 -0.7140
[torch.FloatTensor of size 1x2]
In [39]:
# ラベルを文字列から数値(ロングテンソル)に変換
label_to_ix = {"SINGLISH": 0, "ENGLISH": 1}
def make_target(label, label_to_ix):
return torch.LongTensor([label_to_ix[label]])
In [40]:
print(make_target("SINGLISH",label_to_ix))
0
[torch.LongTensor of size 1]
In [41]:
# 訓練していないから精度は低いものの、ひとまずテストデータの分類を行なってみる
for instance, label in test_data:
bow_vec = autograd.Variable(make_bow_vector(instance, word_to_ix))
log_probs = model(bow_vec)
print(log_probs)
Variable containing:
-0.9222 -0.5069
[torch.FloatTensor of size 1x2]
Variable containing:
-0.8644 -0.5470
[torch.FloatTensor of size 1x2]
In [42]:
# 損失関数、最適化関数の生成
loss_function = nn.NLLLoss() # negative log likelihood loss
optimizer = optim.SGD(model.parameters(), lr=0.1) # stochastic gradient descent
In [43]:
# 訓練
for epoch in range(100):
for instance, label in data:
model.zero_grad() # モデルの勾配をゼロで初期化
bow_vec = autograd.Variable(make_bow_vector(instance, word_to_ix))
target = autograd.Variable(make_target(label, label_to_ix))
log_probs = model(bow_vec)
loss = loss_function(log_probs, target)
loss.backward()
optimizer.step()
In [44]:
# 再度テストデータの分類を行なってみる
# サンプル1はSINGLISH (つまり第１係数の方が大きい)、サンプル２はENGLISH(つまり第2係数の方が大きい)
for instance, label in test_data:
bow_vec = autograd.Variable(make_bow_vector(instance, word_to_ix))
log_probs = model(bow_vec)
print(log_probs)
Variable containing:
-0.3913 -1.1277
[torch.FloatTensor of size 1x2]
Variable containing:
-3.2871 -0.0381
[torch.FloatTensor of size 1x2]
In [45]:
CONTEXT_SIZE = 2
EMBEDDING_DIM = 10
In [46]:
training_sentence = """Government-linked companies play a substantial role in Singapore's economy,
which are owned through the sovereign wealth fund Temasek Holdings, which holds majority stakes
in several of the nation's largest companies, such as Singapore Airlines, SingTel, ST Engineering
and MediaCorp.""".split()
In [47]:
print (training_sentence)
['Government-linked', 'companies', 'play', 'a', 'substantial', 'role', 'in', "Singapore's", 'economy,', 'which', 'are', 'owned', 'through', 'the', 'sovereign', 'wealth', 'fund', 'Temasek', 'Holdings,', 'which', 'holds', 'majority', 'stakes', 'in', 'several', 'of', 'the', "nation's", 'largest', 'companies,', 'such', 'as', 'Singapore', 'Airlines,', 'SingTel,', 'ST', 'Engineering', 'and', 'MediaCorp.']
In [48]:
# 文章からトリグラムを取得
trigrams = [([training_sentence[i], training_sentence[i + 1]], training_sentence[i + 2])
for i in range(len(training_sentence) - 2)]
In [49]:
#最初の要素（文字列リスト）がcontext, 次の要素（文字列）がtargetと呼ばれる
# contextからそれに連なるtargetを予測する言語モデルを作っているため
print(trigrams[:3])
[(['Government-linked', 'companies'], 'play'), (['companies', 'play'], 'a'), (['play', 'a'], 'substantial')]
In [50]:
# ワードリストをセット形式に置き換えたvocabを使ってindexをアサイン
vocab = set(training_sentence)
word_to_ix = {word: i for i, word in enumerate(vocab)}
In [51]:
# セットへ変換した際に、ワードの登録順も変わっている
print(vocab)
{'a', 'play', 'substantial', 'role', 'wealth', 'ST', 'SingTel,', "Singapore's", 'MediaCorp.', 'Holdings,', 'economy,', 'as', 'fund', 'of', 'in', 'Temasek', 'through', 'Singapore', 'and', 'largest', 'companies', 'the', 'sovereign', 'holds', 'owned', 'majority', 'stakes', 'Airlines,', 'Engineering', "nation's", 'several', 'companies,', 'are', 'such', 'Government-linked', 'which'}
In [52]:
# N-gramの言語モデルクラスを定義
class NGramLanguageModeler(nn.Module):
def __init__(self, vocab_size, embedding_dim, context_size):
super(NGramLanguageModeler, self).__init__()
self.embeddings = nn.Embedding(vocab_size, embedding_dim) #ワード数:vocab_size, 埋め込み層次元数:embedding_dim
self.linear1 = nn.Linear(context_size * embedding_dim, 128) #(contextサイズx埋め込み層次元数,128)
self.linear2 = nn.Linear(128, vocab_size)
def forward(self, inputs):
embeds = self.embeddings(inputs).view((1, -1))
out = F.relu(self.linear1(embeds))
out = self.linear2(out)
log_probs = F.log_softmax(out)
return log_probs
In [53]:
# N-gram言語モデルクラスのインスタンスを生成
# EMBEDDING_DIM = 10
# CONTEXT_SIZE = 2
model = NGramLanguageModeler(len(vocab), EMBEDDING_DIM, CONTEXT_SIZE)
In [54]:
# SGDをベースとした最適化関数を生成
optimizer = optim.SGD(model.parameters(), lr=0.001)
In [55]:
losses = [] # 損失の時系列変化を調べるためリストに値を格納しておく
loss_function = nn.NLLLoss() #損失関数は negative log likelihood loss
In [56]:
for epoch in range(100):
total_loss = torch.Tensor([0]) # 損失初期値は0
for context, target in trigrams:
print('context:',context,'\ttarget:',target)
# Contextに含まれている単語をインデックスに変換
context_idxs = [word_to_ix[w] for w in context]
# context_idxを自動微分の変数形式に変換
context_var = autograd.Variable(torch.LongTensor(context_idxs))
# モデルの勾配をゼロで初期化
model.zero_grad()
# modelを呼び出すことで誤差順伝搬（forward pass）の実行と等価となる
# 損失関数を用いて対数確率変数及びtargetのインデックスから損失を算出する
log_probs = model(context_var)
loss = loss_function(log_probs, autograd.Variable(
torch.LongTensor([word_to_ix[target]])))
# 誤差逆伝搬
loss.backward()
optimizer.step()
# 累計損失
total_loss += loss.data
# 本ミニバッチに置ける累計損失を登録
losses.append(total_loss)
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
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context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
context: ['Government-linked', 'companies'] target: play
context: ['companies', 'play'] target: a
context: ['play', 'a'] target: substantial
context: ['a', 'substantial'] target: role
context: ['substantial', 'role'] target: in
context: ['role', 'in'] target: Singapore's
context: ['in', "Singapore's"] target: economy,
context: ["Singapore's", 'economy,'] target: which
context: ['economy,', 'which'] target: are
context: ['which', 'are'] target: owned
context: ['are', 'owned'] target: through
context: ['owned', 'through'] target: the
context: ['through', 'the'] target: sovereign
context: ['the', 'sovereign'] target: wealth
context: ['sovereign', 'wealth'] target: fund
context: ['wealth', 'fund'] target: Temasek
context: ['fund', 'Temasek'] target: Holdings,
context: ['Temasek', 'Holdings,'] target: which
context: ['Holdings,', 'which'] target: holds
context: ['which', 'holds'] target: majority
context: ['holds', 'majority'] target: stakes
context: ['majority', 'stakes'] target: in
context: ['stakes', 'in'] target: several
context: ['in', 'several'] target: of
context: ['several', 'of'] target: the
context: ['of', 'the'] target: nation's
context: ['the', "nation's"] target: largest
context: ["nation's", 'largest'] target: companies,
context: ['largest', 'companies,'] target: such
context: ['companies,', 'such'] target: as
context: ['such', 'as'] target: Singapore
context: ['as', 'Singapore'] target: Airlines,
context: ['Singapore', 'Airlines,'] target: SingTel,
context: ['Airlines,', 'SingTel,'] target: ST
context: ['SingTel,', 'ST'] target: Engineering
context: ['ST', 'Engineering'] target: and
context: ['Engineering', 'and'] target: MediaCorp.
In [57]:
# 各バッチに置ける損失。減少傾向にあるものの、本サンプルでは損失が大きい。
print(losses)
[
133.5453
[torch.FloatTensor of size 1]
,
132.8997
[torch.FloatTensor of size 1]
,
132.2571
[torch.FloatTensor of size 1]
,
131.6174
[torch.FloatTensor of size 1]
,
130.9806
[torch.FloatTensor of size 1]
,
130.3466
[torch.FloatTensor of size 1]
,
129.7153
[torch.FloatTensor of size 1]
,
129.0867
[torch.FloatTensor of size 1]
,
128.4607
[torch.FloatTensor of size 1]
,
127.8369
[torch.FloatTensor of size 1]
,
127.2152
[torch.FloatTensor of size 1]
,
126.5956
[torch.FloatTensor of size 1]
,
125.9780
[torch.FloatTensor of size 1]
,
125.3625
[torch.FloatTensor of size 1]
,
124.7493
[torch.FloatTensor of size 1]
,
124.1376
[torch.FloatTensor of size 1]
,
123.5274
[torch.FloatTensor of size 1]
,
122.9188
[torch.FloatTensor of size 1]
,
122.3116
[torch.FloatTensor of size 1]
,
121.7054
[torch.FloatTensor of size 1]
,
121.1007
[torch.FloatTensor of size 1]
,
120.4974
[torch.FloatTensor of size 1]
,
119.8957
[torch.FloatTensor of size 1]
,
119.2952
[torch.FloatTensor of size 1]
,
118.6958
[torch.FloatTensor of size 1]
,
118.0976
[torch.FloatTensor of size 1]
,
117.5005
[torch.FloatTensor of size 1]
,
116.9046
[torch.FloatTensor of size 1]
,
116.3093
[torch.FloatTensor of size 1]
,
115.7151
[torch.FloatTensor of size 1]
,
115.1218
[torch.FloatTensor of size 1]
,
114.5295
[torch.FloatTensor of size 1]
,
113.9380
[torch.FloatTensor of size 1]
,
113.3476
[torch.FloatTensor of size 1]
,
112.7577
[torch.FloatTensor of size 1]
,
112.1687
[torch.FloatTensor of size 1]
,
111.5805
[torch.FloatTensor of size 1]
,
110.9925
[torch.FloatTensor of size 1]
,
110.4057
[torch.FloatTensor of size 1]
,
109.8190
[torch.FloatTensor of size 1]
,
109.2331
[torch.FloatTensor of size 1]
,
108.6480
[torch.FloatTensor of size 1]
,
108.0635
[torch.FloatTensor of size 1]
,
107.4797
[torch.FloatTensor of size 1]
,
106.8968
[torch.FloatTensor of size 1]
,
106.3150
[torch.FloatTensor of size 1]
,
105.7338
[torch.FloatTensor of size 1]
,
105.1528
[torch.FloatTensor of size 1]
,
104.5724
[torch.FloatTensor of size 1]
,
103.9923
[torch.FloatTensor of size 1]
,
103.4127
[torch.FloatTensor of size 1]
,
102.8342
[torch.FloatTensor of size 1]
,
102.2555
[torch.FloatTensor of size 1]
,
101.6777
[torch.FloatTensor of size 1]
,
101.1002
[torch.FloatTensor of size 1]
,
100.5232
[torch.FloatTensor of size 1]
,
99.9472
[torch.FloatTensor of size 1]
,
99.3715
[torch.FloatTensor of size 1]
,
98.7966
[torch.FloatTensor of size 1]
,
98.2223
[torch.FloatTensor of size 1]
,
97.6492
[torch.FloatTensor of size 1]
,
97.0754
[torch.FloatTensor of size 1]
,
96.5041
[torch.FloatTensor of size 1]
,
95.9322
[torch.FloatTensor of size 1]
,
95.3613
[torch.FloatTensor of size 1]
,
94.7906
[torch.FloatTensor of size 1]
,
94.2208
[torch.FloatTensor of size 1]
,
93.6516
[torch.FloatTensor of size 1]
,
93.0829
[torch.FloatTensor of size 1]
,
92.5159
[torch.FloatTensor of size 1]
,
91.9487
[torch.FloatTensor of size 1]
,
91.3823
[torch.FloatTensor of size 1]
,
90.8172
[torch.FloatTensor of size 1]
,
90.2530
[torch.FloatTensor of size 1]
,
89.6896
[torch.FloatTensor of size 1]
,
89.1278
[torch.FloatTensor of size 1]
,
88.5661
[torch.FloatTensor of size 1]
,
88.0060
[torch.FloatTensor of size 1]
,
87.4462
[torch.FloatTensor of size 1]
,
86.8873
[torch.FloatTensor of size 1]
,
86.3304
[torch.FloatTensor of size 1]
,
85.7733
[torch.FloatTensor of size 1]
,
85.2182
[torch.FloatTensor of size 1]
,
84.6635
[torch.FloatTensor of size 1]
,
84.1096
[torch.FloatTensor of size 1]
,
83.5565
[torch.FloatTensor of size 1]
,
83.0053
[torch.FloatTensor of size 1]
,
82.4550
[torch.FloatTensor of size 1]
,
81.9065
[torch.FloatTensor of size 1]
,
81.3584
[torch.FloatTensor of size 1]
,
80.8118
[torch.FloatTensor of size 1]
,
80.2654
[torch.FloatTensor of size 1]
,
79.7212
[torch.FloatTensor of size 1]
,
79.1792
[torch.FloatTensor of size 1]
,
78.6370
[torch.FloatTensor of size 1]
,
78.0965
[torch.FloatTensor of size 1]
,
77.5571
[torch.FloatTensor of size 1]
,
77.0189
[torch.FloatTensor of size 1]
,
76.4822
[torch.FloatTensor of size 1]
,
75.9475
[torch.FloatTensor of size 1]
]
In [58]:
# サンプルテスト
context_idxs = [word_to_ix[w] for w in ['sovereign', 'wealth'] ]
context_var = autograd.Variable(torch.LongTensor(context_idxs))
log_probs = model(context_var)
_,max_idx= torch.max(log_probs,-1)
max_idx_word = list(vocab)[max_idx.data[0]]
print(max_idx_word)
fund
In [59]:
raw_text = """Government-linked companies play a substantial role in Singapore's economy,
which are owned through the sovereign wealth fund Temasek Holdings, which holds majority stakes
in several of the nation's largest companies, such as Singapore Airlines, SingTel, ST Engineering
and MediaCorp.""".split()
In [60]:
vocab = set(raw_text)
vocab_size = len(vocab)
In [61]:
# ワードからインデックスへの変換用に辞書を生成
word_to_ix = {word: i for i, word in enumerate(vocab)}
In [62]:
# 右2, 左2のサイズをもつcontextと、サイズ1のtargetでペアを作成
data = []
for i in range(2, len(raw_text) - 2):
context = [raw_text[i - 2], raw_text[i - 1],
raw_text[i + 1], raw_text[i + 2]]
target = raw_text[i]
data.append((context, target))
print(data[:5])
[(['Government-linked', 'companies', 'a', 'substantial'], 'play'), (['companies', 'play', 'substantial', 'role'], 'a'), (['play', 'a', 'role', 'in'], 'substantial'), (['a', 'substantial', 'in', "Singapore's"], 'role'), (['substantial', 'role', "Singapore's", 'economy,'], 'in')]
In [63]:
context_size = len(data[0][0])/2 # 右長=左長=2
print(context_size)
2.0
In [64]:
# Continuous Bag-of-Wordsのクラスを生成
class CBOW(nn.Module):
def __init__(self, vocab_size, embedding_dim, context_size):
super(CBOW, self).__init__()
self.embeddings = nn.Embedding(vocab_size, embedding_dim)
#self.linear1 = nn.Linear(context_size * embedding_dim, 128)
#self.linear2 = nn.Linear(128, vocab_size)
self.linear1 = nn.Linear(embedding_dim, vocab_size)
def forward(self, inputs):
#embeds = self.embeddings(inputs).view((1,-1))
#out = F.relu(self.linear1(embeds))
#out = self.linear2(out)
#log_probs = F.log_softmax(out)
embeds = self.embeddings(inputs).sum(dim=0).view((1,-1)) # sum() is needed here for CBOW
out = self.linear1(embeds)
log_probs = F.log_softmax(out)
return log_probs
In [65]:
# コンテキストから自動微分変数へ変換するヘルパー関数
def make_context_vector(context, word_to_ix):
idxs = [word_to_ix[w] for w in context]
tensor = torch.LongTensor(idxs)
return autograd.Variable(tensor)
In [66]:
# モデルの生成と、最適化関数及び損失関数の生成
EMBEDDING_DIM = 10
model = CBOW(vocab_size, EMBEDDING_DIM, context_size)
optimizer = optim.SGD(model.parameters(), lr=0.001)
# loss_function = nn.NLLLoss()
loss_function = nn.CrossEntropyLoss()
In [67]:
# 訓練
for epoch in range(100):
total_loss = torch.Tensor([0]) # 損失初期値は0
for context, target in data:
print('context:',context,'\ttarget:',target)
# Contextに含まれている単語をインデックスに変換し、自動微分の変数形式に変換
context_var = make_context_vector(context, word_to_ix)
# モデルの勾配をゼロで初期化
model.zero_grad()
# modelを呼び出すことで誤差順伝搬（forward pass）の実行と等価となる
# 損失関数を用いて対数確率変数及びtargetのインデックスから損失を算出する
log_probs = model(context_var)
loss = loss_function(log_probs, autograd.Variable(torch.LongTensor([word_to_ix[target]])))
# 誤差逆伝搬
loss.backward()
optimizer.step()
# 累計損失
total_loss += loss.data
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
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context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
context: ['Government-linked', 'companies', 'a', 'substantial'] target: play
context: ['companies', 'play', 'substantial', 'role'] target: a
context: ['play', 'a', 'role', 'in'] target: substantial
context: ['a', 'substantial', 'in', "Singapore's"] target: role
context: ['substantial', 'role', "Singapore's", 'economy,'] target: in
context: ['role', 'in', 'economy,', 'which'] target: Singapore's
context: ['in', "Singapore's", 'which', 'are'] target: economy,
context: ["Singapore's", 'economy,', 'are', 'owned'] target: which
context: ['economy,', 'which', 'owned', 'through'] target: are
context: ['which', 'are', 'through', 'the'] target: owned
context: ['are', 'owned', 'the', 'sovereign'] target: through
context: ['owned', 'through', 'sovereign', 'wealth'] target: the
context: ['through', 'the', 'wealth', 'fund'] target: sovereign
context: ['the', 'sovereign', 'fund', 'Temasek'] target: wealth
context: ['sovereign', 'wealth', 'Temasek', 'Holdings,'] target: fund
context: ['wealth', 'fund', 'Holdings,', 'which'] target: Temasek
context: ['fund', 'Temasek', 'which', 'holds'] target: Holdings,
context: ['Temasek', 'Holdings,', 'holds', 'majority'] target: which
context: ['Holdings,', 'which', 'majority', 'stakes'] target: holds
context: ['which', 'holds', 'stakes', 'in'] target: majority
context: ['holds', 'majority', 'in', 'several'] target: stakes
context: ['majority', 'stakes', 'several', 'of'] target: in
context: ['stakes', 'in', 'of', 'the'] target: several
context: ['in', 'several', 'the', "nation's"] target: of
context: ['several', 'of', "nation's", 'largest'] target: the
context: ['of', 'the', 'largest', 'companies,'] target: nation's
context: ['the', "nation's", 'companies,', 'such'] target: largest
context: ["nation's", 'largest', 'such', 'as'] target: companies,
context: ['largest', 'companies,', 'as', 'Singapore'] target: such
context: ['companies,', 'such', 'Singapore', 'Airlines,'] target: as
context: ['such', 'as', 'Airlines,', 'SingTel,'] target: Singapore
context: ['as', 'Singapore', 'SingTel,', 'ST'] target: Airlines,
context: ['Singapore', 'Airlines,', 'ST', 'Engineering'] target: SingTel,
context: ['Airlines,', 'SingTel,', 'Engineering', 'and'] target: ST
context: ['SingTel,', 'ST', 'and', 'MediaCorp.'] target: Engineering
In [68]:
# 検証
context_var = make_context_vector(data[0][0], word_to_ix)
log_probs = model(context_var)
#max_value = torch.max(log_probs)
#max_idx = log_probs.data.numpy().argmax()
_,max_idx= torch.max(log_probs,-1)
max_idx_word = list(vocab)[max_idx.data[0]]
print(max_idx_word)
play
In [ ]:
Content source: kaysg/NLPatelier
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