Phrase Structure Trees Bear More Fruit than You Would Have Thought
Paper · 1982 · Aravind K. Joshi and Leon S. Levy
Summary
This theoretical paper argues that ordinary phrase structure trees can describe far more than is usually assumed, without going beyond context-free generative power. It responds to 1970s–80s alternatives to transformational grammar, such as Gazdar's GPSG and the linking approach of Peters and Karttunen, which enrich phrase structure grammars while trying to keep them weakly context-free. The authors revisit their earlier work on local constraints. In that framework, context-sensitive-looking conditions are applied to trees as node admissibility checks rather than as rewriting rules. They give an intuitive proof of the main theorem using interacting finite-state machines instead of tree automata theory. They then compare this approach with slashed categories and node linking. They also study skeletons, which are trees with all category labels removed. Every context-free tree set can be generated purely from such unlabeled shapes, so the grouping structure alone keeps all the structural information. This bears on psycholinguistics and on grammatical inference.
Key points
- The paper builds on Peters and Ritchie (1969). Their result is that context-sensitive rules used as node admissibility conditions accept only context-free languages. Joshi and Levy (1977) extended this to Boolean combinations of proper analysis and domination predicates.
- In GPSG, slashed categories (e.g., S/NP) with derived and linking rules handle unbounded dependencies and stay context-free, but they multiply the number of categories. Unconstrained metarules can exceed context-free power, for example by generating {aⁿbⁿcⁿ}.
- The paper traces the history of categories with holes to Harris (1956, 1962). It also credits Sager, whose parser propagated holes and used them for coordination.
- For any context-free grammar, a skeletal generating system can be built from initial skeletons and skeletal rewriting rules that yields exactly its label-free tree set (Levy and Joshi 1979).
- Each skeletal set is recognized by a bottom-up tree automaton (Levy and Joshi 1978). If that automaton has k states, the skeletons of depth ≤ 2k fully determine the set. This suggests feeding grammatical inference with bracketed strings rather than plain strings.
Institutions
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 16,667 worksArtificial Intelligence · 16,194 worksArts and Humanities · 16,039 worksLanguage and Linguistics · 15,891 worksPsychology · 1,552 worksDevelopmental and Educational Psychology · 499 works
🧭 Topics 1Research subjects and languages the work is about.Syntax & grammar formalisms · 214 works
Cite
Cite as Aravind K. Joshi and Leon S. Levy. 1982. Phrase Structure Trees Bear More Fruit than You Would Have Thought. Computational Linguistics.
@article{joshi1982phrase,
title = {{Phrase Structure Trees Bear More Fruit than You Would Have Thought}},
author = {Aravind K. Joshi and Leon S. Levy},
journal = {Computational Linguistics},
year = {1982},
doi = {10.3115/981436.981451},
url = {https://doi.org/10.3115/981436.981451}
}References
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