Everyday language help system based on software manual

This paper presents a method for providing an everyday language smart help using an application software manual. This system takes three phases in the process: understanding of a user´s input, matching the result of understanding with manual texts of application software, and paraphrasing the matched texts to output for the user. We focus on the output phase, in which a manual text matched in the matching phase is paraphrased using the analysis result in the understanding phase. Four paraphrasing methods for a novice user are identified by a subject experiment, and rules for these methods are applied in respect to the linguistic features extracted in the understanding phase. An example scenario is shown, and the applied rules and their effects are discussed.