TRAINABLE DYNAMIC PHRASE REORDERING FOR NATURAL LANGUAGE GENERATION IN CONVERSATIONAL SYSTEMS

A system and method to facilitate natural language generation in a human-to-machine conversational system that produces written or spoken output. In one aspect, a user provides a scoring function and grammar rules including words and attributes. A method according to the present invention then generates possible reorderings of the words and attributes using the grammar rules and determines an optimal ordering of the words and attributes using the scoring function, which is then returned to the user.