12. The method of claim 1 , wherein using the author vector for the first author to predict the next word that follows the last word in the second word sequence comprises: obtaining an author identifier that identifies the first author as author of the second word sequence; and processing the second word sequence and the author identifier with a prediction system, including mapping the author identifier to the author vector for the first author, to determine the next word that follows the last word in the second word sequence.
1. A method comprising: obtaining a set of first word sequences, wherein the set of first word sequences comprises a plurality of first sequences of words and, for each first sequence of words, a word that follows a last word in the first sequence of words, wherein each first word sequence in the set has been classified as being authored by a first author; processing the plurality of first sequences of words using a trained neural network system to determine an author vector for the first author, wherein the author vector characterizes the first author; after determining the author vector for the first author, obtaining a second word sequence that was authored by the first author; and using the author vector for the first author to predict a next word that follows a last word in the second word sequence.