After training the neural network, to extract the word embeddings, you obtain the weight matrix $($the one between the input layer and the hidden layer$).$ Assume that the vocabulary size is $10.$ Also, you used a skip gram model to train the network.

Our vocabulary contains the following.

man machine tower capital flight grass football league Germany France

Word Vector

According to the weights generated above, what will be the word vector corresponding to the word $$flight$?$