A Lower Bound on Unambiguous Context Free Grammars via Communication Complexity

Motivated by recent connections to factorised databases, we analyse the efficiency of representations by context free grammars (CFGs). Concretely, we prove a recent conjecture by Kimelfeld, Martens, and Niewerth (ICDT 2025), that for finite languages representations by general CFGs can be doubly-exponentially smaller than those by unambiguous CFGs. To do so, we show the first exponential lower bounds for representation by unambiguous CFGs of a finite language that can efficiently be represented by ambiguous CFGs. Our proof first reduces the problem to proving a lower bound in a non-standard model of communication complexity. Then, we argue similarly in spirit to a recent discrepancy argument to show the required communication complexity lower bound. Our result also implies that a finite language may admit an exponentially smaller representation as a nondeterministic finite automaton than as an unambiguous CFG.

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Publication Details

Journal
Proceedings of the ACM on Management of Data
Published
2025-06-09
DOI
https://doi.org/10.1145/3725225
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
2.48
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article

A Lower Bound on Unambiguous Context Free Grammars via Communication Complexity

Stefan Mengel, Harry Vinall-Smeeth
1 citations
Proceedings of the ACM on Management of Data
Natural Language Processing Techniques
2.48
article

A Lower Bound on Unambiguous Context Free Grammars via Communication Complexity

Stefan Mengel, Harry Vinall-Smeeth
article en
1 citations

Abstract

Motivated by recent connections to factorised databases, we analyse the efficiency of representations by context free grammars (CFGs). Concretely, we prove a recent conjecture by Kimelfeld, Martens, and Niewerth (ICDT 2025), that for finite languages representations by general CFGs can be doubly-exponentially smaller than those by unambiguous CFGs. To do so, we show the first exponential lower bounds for representation by unambiguous CFGs of a finite language that can efficiently be represented by ambiguous CFGs. Our proof first reduces the problem to proving a lower bound in a non-standard model of communication complexity. Then, we argue similarly in spirit to a recent discrepancy argument to show the required communication complexity lower bound. Our result also implies that a finite language may admit an exponentially smaller representation as a nondeterministic finite automaton than as an unambiguous CFG.

Proceedings of the ACM on Management of DataVol. 3(2)
Technische Universität Ilmenau (DE), Centre National de la Recherche Scientifique (FR), Centre de Recherche en Informatique (FR), Université d'Artois (FR)
Openalex Percentile: Top 10%
Natural Language Processing Techniques
2.48
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