16. The system of claim 15 , wherein the trained neural network system comprises an embedding layer configured to map an identifier for the current author and each word in the current sequence of words to respective vector representations, a combining layer configured to combine the vector representations into a combined representation, and a classifier layer configured to generate the word scores using the combined representation.
16. The system of claim 15 , wherein the trained neural network system comprises an embedding layer configured to map an identifier for the current author and each word in the current sequence of words to respective vector representations, a combining layer configured to combine the vector representations into a combined representation, and a classifier layer configured to generate the word scores using the combined representation. 18. The system of claim 16 , wherein the combining layer is configured to average the vector representations of the words in the current sequence of words and the author vector for the current author.