ABSTRACT

This chapter reports on the development of the CALLE Computer-Assisted Language Learning Environment (CALLE) prototype language training tool. CALLE supports foreign language learning by giving assistance in understanding and analyzing foreign language texts, such as documents and articles. CALLE represents one stage in the ongoing effort to study Lexical-functional grammar (LFG) is the theoretical and computational basis for constructing interactive language training tools. LFG is a theory of natural language, a vehicle for knowledge representation, and an environment for parsing. As such, it provides a readily exploitable linguistic environment as a basis for constructing a tutoring tool. The main resources available for knowledge representation are a morphological table, a rule set, a lexicon, and template mechanisms. Each resource represents a repository of knowledge that can be tapped by detection methods, allowing the system designer to mine the information that has been structured by the language expert and to present it in a form that will communicate to.