1. A method comprising: identifying, via a processor configured to perform speech analysis, an identity of a user based on characteristics of received speech during a dialog between the user and a dialog system, to yield a user identification; generating a personalized natural language generation model based on a stylistic analysis on a literary narrative and the user identification, wherein the stylistic analysis identifies connections between two or more of a personality independent quotation lattice, personality independent attributes, personality dependent attributes, and speakers within the literary narrative; and applying the personalized natural language generation model while performing, as part of the dialog, one of automatic speech recognition or natural language generation.
1. A method comprising: identifying, via a processor configured to perform speech analysis, an identity of a user based on characteristics of received speech during a dialog between the user and a dialog system, to yield a user identification; generating a personalized natural language generation model based on a stylistic analysis on a literary narrative and the user identification, wherein the stylistic analysis identifies connections between two or more of a personality independent quotation lattice, personality independent attributes, personality dependent attributes, and speakers within the literary narrative; and applying the personalized natural language generation model while performing, as part of the dialog, one of automatic speech recognition or natural language generation. 6. The method of claim 1 , wherein the identifying of the user from the received speech further comprises performing a prosody analysis of the received speech.