Adaptive LL(*) parsing

Author:

Parr Terence1,Harwell Sam2,Fisher Kathleen3

Affiliation:

1. University of San Francisco, San Francisco, CA, USA

2. University of Texas at Austin, Austin, TX, USA

3. Tufts University, Medford, MA, USA

Abstract

Despite the advances made by modern parsing strategies such as PEG, LL (*), GLR, and GLL, parsing is not a solved problem. Existing approaches suffer from a number of weaknesses, including difficulties supporting side-effecting embedded actions, slow and/or unpredictable performance, and counter-intuitive matching strategies. This paper introduces the ALL (*) parsing strategy that combines the simplicity, efficiency, and predictability of conventional top-down LL(k) parsers with the power of a GLR-like mechanism to make parsing decisions. The critical innovation is to move grammar analysis to parse-time, which lets ALL(*) handle any non-left-recursive context-free grammar. ALL (*) is O(n 4 ) in theory but consistently performs linearly on grammars used in practice, outperforming general strategies such as GLL and GLR by orders of magnitude. ANTLR 4 generates ALL (*) parsers and supports direct left-recursion through grammar rewriting. Widespread ANTLR 4 use (5000 downloads/month in 2013) provides evidence that ALL (*) is effective for a wide variety of applications.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

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