Composing Copyless Streaming String Transducers

TL;DR

This paper investigates the composition of copyless streaming string transducers (SSTs), identifies issues with previous constructions, and introduces diamond-free SSTs to ensure the preservation of copyless properties during composition.

Contribution

It revises the composition construction for copyless SSTs, introduces diamond-free SSTs to prevent superficial copyfulness, and provides a method to convert certain copyful SSTs back into copyless ones.

Findings

Original composition methods can produce copyful SSTs.

Diamond-free SSTs avoid combining variable copies.

A method exists to convert diamond-free copyful SSTs into copyless SSTs.

Abstract

Streaming string transducers (SSTs) implement string-to-string transformations by reading each input word in a single left-to-right pass while maintaining fragments of potential outputs in a finite set of string variables. These variables get updated on transitions of the transducer, where they can be assigned new values described by concatenations of variables and output symbols. An SST is called copyless if every update is such that no variable occurs more than once amongst all of the assigned expressions. The transformations realized by copyless SSTs coincide with Courcelle's monadic second-order logic graph transducers (MSOTs) when restricted to string graphs. Copyless SSTs with nondeterminism are known to be equivalent to nondeterministic MSOTs as well. MSOTs, both deterministic and nondeterministic, are closed under composition. Given the equivalence of MSOTs and copyless SSTs, it is easy to see that copyless SSTs are also closed under composition. The original proof of this fact, however, was based on a direct construction to produce a composite copyless SST from two given copyless SSTs. A counterexample discovered by Joost Englefriet showed that this construction may produce copyful transducers. We revisit the original composition constructions for both deterministic and nondeterministic SSTs and show that, although they can introduce copyful updates, the resulting copyful behavior they exhibit is superficial. To characterize this mild copyful behavior, we define a subclass of copyful SSTs, called diamond-free SSTs, in which two copies of a common variable are never combined in any subsequent assignment. In order to recover a modified version of the original construction, we provide a method for producing an equivalent copyless SST from any diamond-free copyful SST.