Project

Normal-Simplex is a project concerned with improving and assessing regulations andlegal text. Better regulations reduce the burden and costs of administrative processesto the government and citizens. The main tasks of the project are concerned withmodeling documents and capture the semantics conveyed by natural language in a mathematical way. These models are then used to validate semantic information, check for inconsistencies, generate better text from the improved model, building semantic networks, etc.

NSM is a set of tools and applications that are being developed in the context of this project.