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Marrying Words and Trees

Summary: Use nested words to unify linear and hierarchical data and define automata that generalize both word and ordered-tree automata. Show finite-state nested-word automata can be exponentially more succinct than tree automata, and pushdown variants subsume both context-free word and context-free tree languages while analysis complexity and closure properties remain analogous to the classical cases. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1433
Venue
PODS
Year
2007
Pagerank
4.4097486e-05
Overall Rank
9,011 | 37.32%
DOI
-

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