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Computational aspects of M-grammars

Joep Rous

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Abstract

In this paper M-grammars that are used in the Rosetta translation system will be looked at as the specification of attribute grammars. We will show that the attribute evaluation order is such that instead of the special-purpose parsing and generation algorithms introduced for M-grammars in Appelo et al.(1987), also Earley-like context-free parsing and ordinary generation strategies can be used. Furthermore, it is illustrated that the attribute grammar approach gives an insight into the weak generative capacity of M-grammars and into the computational complexity of the parsing and generation process. Finally, the attribute grammar approach will be used to reformulate the concept of isomorphic grammars.

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In this paper M-grammars that are used in the Rosetta translation system will be looked at as the specification of attribute grammars. We will show that the attribute evaluation order is such that instead of the special-purpose parsing and generation algorithms introduced for M-grammars in Appelo et al.(1987), also Earley-like context-free parsing and ordinary generation strategies can be used. Furthermore, it is illustrated that the attribute grammar approach gives an insight into the weak generative capacity of M-grammars and into the computational complexity of the parsing and generation process. Finally, the attribute grammar approach will be used to reformulate the concept of isomorphic grammars.

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Available abstract

In this paper M-grammars that are used in the Rosetta translation system will be looked at as the specification of attribute grammars. We will show that the attribute evaluation order is such that instead of the special-purpose parsing and generation algorithms introduced for M-grammars in Appelo et al.(1987), also Earley-like context-free parsing and ordinary generation strategies can be used. Furthermore, it is illustrated that the attribute grammar approach gives an insight into the weak generative capacity of M-grammars and into the computational complexity of the parsing and generation process. Finally, the attribute grammar approach will be used to reformulate the concept of isomorphic grammars.

Key concepts: L-attributed grammar, Context-free grammar, Tree-adjoining grammar, Computer science, Rule-based machine translation, Parsing, Parsing expression grammar, Context-sensitive grammar

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