Traditional language processing tools constrain language designers to specific kinds of grammars. In contrast, model-based language specification decouples language design from language processing. As a consequence, model-based language specification tools need general parsers able to parse unrestricted context-free grammars. As languages specified following this approach may be ambiguous, parsers must deal with ambiguities. Model-based language specification also allows the definition of associativity, precedence, and custom constraints. Therefore parsers generated by model-driven language specification tools need to enforce constraints. In this paper, we propose Fence, an efficient bottom-up chart parser with lexical and syntactic ambiguity support that allows the specification of constraints and, therefore, enables the use of model-based language specification in practice.
@article{arxiv.1110.1470,
title = {A Constraint-Satisfaction Parser for Context-Free Grammars},
author = {Luis Quesada and Fernando Berzal and Francisco J. Cortijo},
journal= {arXiv preprint arXiv:1110.1470},
year = {2012}
}