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[Paper Review] Dyck-based characterizations of Indexed Languages

Séverine Fratani, El Makki Voundy|arXiv (Cornell University)|Sep 22, 2014
semigroups and automata theory14 references3 citations
TL;DR

This paper generalizes key characterizations of context-free languages—rational transductions, the Chomsky-Schützenberger representation, and logical definability—to indexed languages. By extending Nivat's transduction framework, the Chomsky-Schützenberger theorem, and Lautemann et al.'s logical approach to indexed languages, the authors establish a Dyck-based foundation that captures the structure of indexed languages through pushdown automata over Dyck words, yielding a uniform algebraic and logical characterization.

ABSTRACT

Indexed languages are a generalization of context-free languages and form a proper subset of context-sensitive languages. We propose to generalize to indexed languages several well known characterizations of context-free languages: namely, the characterization by rational transductions defined by Nivat, the Chomsky-Schützenberger theorem, and the logical characterization proved by Lautemann et al.

Motivation & Objective

  • To extend the well-known characterizations of context-free languages—rational transductions, the Chomsky-Schützenberger theorem, and logical definability—to indexed languages.
  • To establish a uniform framework for indexed languages using Dyck languages as a structural backbone.
  • To generalize Nivat’s rational transduction characterization to indexed languages via Dyck word transformations.
  • To show that indexed languages can be represented as inverse images of Dyck languages under rational transductions.
  • To provide a logical characterization of indexed languages analogous to Lautemann et al.'s result for context-free languages.

Proposed method

  • Adapts Nivat’s framework of rational transductions to indexed languages by defining transductions over Dyck words.
  • Constructs a Dyck-based representation of indexed languages using pushdown automata over Dyck words.
  • Applies the Chomsky-Schützenberger theorem by expressing indexed languages as inverse images of Dyck languages under rational transductions.
  • Introduces a logical formalism based on monadic second-order logic over words with nested structures to capture indexed languages.
  • Uses the algebraic closure properties of rational transductions to preserve indexed language structure under transformation.
  • Establishes equivalence between the Dyck-based representations and the standard generative definitions of indexed languages.

Experimental results

Research questions

  • RQ1Can rational transductions, as used for context-free languages, be extended to characterize indexed languages?
  • RQ2Is there a Dyck-based algebraic representation of indexed languages analogous to the Chomsky-Schützenberger theorem for context-free languages?
  • RQ3Can indexed languages be logically defined using monadic second-order logic over structured words with nested dependencies?
  • RQ4How do the structural properties of Dyck languages enable the generalization of context-free language characterizations to indexed languages?
  • RQ5What is the relationship between rational transductions, Dyck languages, and the generative power of indexed grammars?

Key findings

  • Indexed languages can be characterized as the inverse image of Dyck languages under rational transductions, generalizing Nivat’s result for context-free languages.
  • A Dyck-based Chomsky-Schützenberger representation is established for indexed languages, showing they arise as homomorphic preimages of Dyck languages under rational transductions.
  • The logical characterization of indexed languages is extended via monadic second-order logic over words with nested bracket structures, mirroring Lautemann et al.'s result for context-free languages.
  • The framework unifies algebraic, automata-theoretic, and logical characterizations of indexed languages through Dyck word semantics.
  • The results demonstrate that the structural properties of Dyck languages provide a natural foundation for generalizing context-free language theory to indexed languages.
  • The proposed characterizations are shown to be closed under rational transductions, preserving the algebraic structure of indexed languages.

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This review was created by AI and reviewed by human editors.