SSCS: A Smart Spell Checker System Implementation Using Adaptive Software Architecture

Abstract

Abstract. The subject of this paper is a Smart Spell Checker System (SSCS) that can adapt to a particular user by using the user's feedback for adjusting its behavior. The result of the adjustment is manifested in a different ordering of the suggestions to the user on how a particular spelling mistake should be corrected. The SSCS uses the Adaptive Software Architecture (ASA). The ASA consists of a hierarchy of layers, each containing a number of components calledKnowledge Sources. The layers are connected by a software bus called Domain. External elements include User and Initiator(s). Initiators supply input data to the system. The system also includes an Evaluator that generates feedback. Each Knowledge Source is responsible for generating suggestions for correcting a specific type of error. Feedback is propagated to Knowledge Sources after the user makes a selection of the correction. In response to feedback, Knowledge Sources adjust their algorithms. In this paper we present the results of the evaluation of the adaptability of the SSCS.