An LALR Parser Generator Supporting Conflict Resolution

Leonardo Teixeira Passos (Federal University of Minas Gerais, Brazil)

Mariza A. S. Bigonha (Federal University of Minas Gerais, Brazil)

Roberto S. Bigonha (Federal University of Minas Gerais, Brazil)

Abstract: Despite all the advance brought by LALR parsing method by DeRemer in the late 60's, conflicts continue to be removed in a non-productive way, by means of analysis of a huge amount of textual and low level data dumped by the parser generator tool. For the purpose of changing this scenario, we present a parser generator capable of automatically removing some types of conflicts, along with a supported methodology that guides the process of manual removal. We also discuss the internal algorithms and how the created parsers are compact in terms of memory usage.

Keywords: automatic conflict removal, lalr parsing, methodology, table compression

Categories: D.3.4, F.4.2