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Tree automata and attribute grammars

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Apr 1983Publisher:Springer Science and Business Media LLCJournal:Information and Control, volume 57, pages 1-20 (issn: 0019-9958, Copyright policy )Funded by:NSF | Study of Attribute Gramma...
Authors: Tsutomu Kamimura;

doi: 10.1007/bfb0036922 , 10.1016/s0019-9958(83)80021-7

Tree automata and attribute grammars

Abstract

Summary: The translational mechanism of attribute grammars using tree automata are investigated. The pushdown tree-to-string transducer with a certain synchronization facility as a model to realize transformations by attribute grammars is proposed and its basic properties using tree- walking finite state automata are studied. To demonstrate the utility of this model, it is shown that noncircular attribute grammars are equally powerful as arbitrary attribute grammars, and a method is provided to show that a certain type of transformations is impossible by attribute grammars.

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Keywords

attribute grammars, tree-walking finite state automata, pushdown tree-to-string transducer, Formal languages and automata, tree automata, Engineering(all)

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Average
hybrid