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Toward a Bottom-Up Parsing Virtual Machine

Authors: Kazuaki Maeda;

Toward a Bottom-Up Parsing Virtual Machine

Abstract

This paper proposes a virtual machine specialized for bottom-up parsing. All existing parser generators are tightly coupled to their target programming languages. In this paper’s approach, generated parsers are written in machine code for a virtual machine. They are loosely coupled to any programming languages. If we port a parser from one programming language to another, we do not need to modify the parser generator. All we have to do is to read the specifications of the virtual machine and customize it. The virtual machine is under development, but the proposed approach will have the advantage of platform independence for parser development.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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