Predicting next word using the language model tensorflow example

Question

The tensorflow tutorial on language model allows to compute the probability of sentences :

probabilities = tf.nn.softmax(logits)

in the co

Answer 1

It is actually an advantage that the function returns a probability instead of the word itself. Since it is using a list of words, with the associated probabilities, you can do further processing, and increase the accuracy of your result.

To answer your question: You can take the list of words, iterate though it , and make the program display the word with the highest probability.