diff --git a/modules/prediction.py b/modules/prediction.py
index 20f9623..37afab4 100755
--- a/modules/prediction.py
+++ b/modules/prediction.py
@@ -71,9 +71,9 @@ class AttentionCell(nn.Module):
         # [batch_size x num_encoder_step x num_channel] -> [batch_size x num_encoder_step x hidden_size]
         batch_H_proj = self.i2h(batch_H)
         prev_hidden_proj = self.h2h(prev_hidden[0]).unsqueeze(1)
-        emition = self.score(torch.tanh(batch_H_proj + prev_hidden_proj))  # batch_size x num_encoder_step * 1
+        e = self.score(torch.tanh(batch_H_proj + prev_hidden_proj))  # batch_size x num_encoder_step * 1
 
-        alpha = F.softmax(emition, dim=1)
+        alpha = F.softmax(e, dim=1)
         context = torch.bmm(alpha.permute(0, 2, 1), batch_H).squeeze(1)  # batch_size x num_channel
         concat_context = torch.cat([context, char_onehots], 1)  # batch_size x (num_channel + num_embedding)
         cur_hidden = self.rnn(concat_context, prev_hidden)