A Controlled Natural Language for Financial Services Compliance Checking

Abstract

Controlled natural languages have long been used as a surface form for formal descriptions, allowing easy transitioning between natural language specifications and implementable specifications. In this paper we motivate the use of a controlled natural language in the representation and verification of financial services regulations. The verification context is that of payment applications that come with a model of their promised behaviour and which are deployed on a payments ecosystem. The semantics of this financial services regulations controlled natural language (FSRCNL) can produce compliance checks that analyse both the promised model and/or monitor the application itself after it is deployed.