Augmented tranśition networks and their relation to tree transducers

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Abstract

Augmented Transition Network Parsers (ATN) were defined by Woods and used by him in a natural language understanding system. Every recursively enumerable set is recognizable by an ATN.

We define the Basic ATN, a limited class of ATN, and show that the languages accepted by this class are exactly those generated by a single top-down finite-state tree transducer, as defined by Rounds and Thatcher. These languages are known to be context-sensitive but have an NP-complete recognition problem.

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    This work was supported in part by the National Science Foundation under Grant GS-31309, and by the National Research Council of Canada under Grant A-9285.

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