Abstract
We are interested in generating text in a way which helps convey the writer's personality. This has led us to consider be relationship between language production and personality from a Maman perspective. We already have data to be covered at the computational level (comparative corpus analysis). We consider that findings at the implementation level (cognitive neuroscience) will help guide architectural explorations at the algorithmic level (computational linguistics). This position statement indicates the data and processing hypotheses which we have arrived at, and suggests that neurocognitive results concerning hemispheric asymmetry may be particularly relevant. Copyright © 2004, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.