In this paper, we describe the HAPPI (Helping Aphasic People Process Information) project which aims to develop web based systems to help Aphasic people gain access to web based information such as online news stories. It does this by simplifying the language and providing alternative means to help jog users' memories and hence improve their comprehension of the online material.

We report on two experiments performed to test the importance of Term Order in automatic summarisation. Experiment one was undertaken as part of DUC 2004 to which three systems were submitted, each with a different summarisation approach. The system that used document Term Order outperformed those that did not use Term Order in the ROUGE evaluation. Experiment two made use of human evaluations of search engine results, comparing our Query Term Order summaries with a simulation of current Google search engine result summaries in terms of summary quality. Our QTO system's summaries aided users' relevance judgements to a significantly greater extent than Google's.