46 Intelligent SLA Monitor Corpus Using Optimal ANNs

This paper presents the prototype of an Intelligent Second Language Acquisition (SLA) Monitor Corpus for learning particular problem in domain second language acquisition theory - inter-language - by examining the implications of connectionist models of cognition for information processing. The system applies optimal artificial neural network (ANNs) using generic algorithm which discovers direct codification and uses the error from the trained network as a performance measure to guide the evolution. These corpora are intended to serve as a resource for researchers and practitioners who need information on specific purpose in second language acquisition. The aim of this paper is to disseminate information on the project, and also to initiate discussion on how the Intelligent SLA Monitor Corpus Using Optimal ANNs might be developed.