Warren's abstract machine: a tutorial reconstruction
Warren's abstract machine: a tutorial reconstruction
The logic of typed feature structures
The logic of typed feature structures
Compilation versus abstract machines for fast parsist of typed feature structure grammars
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LiLFeS: towards a practical HPSG parser
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HPSG-style underspecified Japanese grammar with wide coverage
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Packing of feature structures for efficient unification of disjunctive feature structures
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A bag of useful techniques for efficient and robust parsing
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
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This article evaluates the efficiency of the LiLFeS abstract machine by performing parsing tasks with the LinGO English resource grammar. The instruction set of the abstract machine is optimized for efficient processing of definite clause programs and typed feature structures. LiLFeS also supports various tools required for efficient parsing (e.g. efficient copying, a built-in CFG parser) and the constructions of standard Prolog (e.g. cut, assertions, negation as failure). Several parsers and large-scale grammars, including the LinGO grammar, have been implemented in or ported to LiLFeS. Precise empirical results with the LinGO grammar are provided to allow comparison with other systems. The experimental results demonstrate the efficiency of the LiLFeS abstract machine.