report · 1962
SUMMARY OF A METHOD FOR THE AUTOMATIC CONSTRUCTION OF SYNTAX DIRECTED COMPILERS
Cited by 0Abstract and details only
Abstract
Abstract : This report describes a recently developed technique for the rapid realization of compilers for new source languages and new target machines. The method is built around a table-driven translation algorithm. This algorithm is embodied in a small general-purpose (language- and machine-independent) program, called the ''Translater'', which accepts strings of characters, syntactically analyzes them, and edits pseudo-code macro-instructions, performing arbitrarily complex investigations of syntactic context to decide this emission. The Translater is particularized to a given source-target pair by a set of tables which define the syntax of the source language and the strategy to be used in studying context and emitting macros. The newly-developed technique consists of the creation of a readable, formal language for describing both the syntax and the strategy of macro generation; thus, the Translater can, by translating a message in this new language, create an instance of its own tables.
Cite this paper
Warshall, S. (1962). SUMMARY OF A METHOD FOR THE AUTOMATIC CONSTRUCTION OF SYNTAX DIRECTED COMPILERS. https://doi.org/10.21236/ad0296186
Warshall, Stephen. “SUMMARY OF A METHOD FOR THE AUTOMATIC CONSTRUCTION OF SYNTAX DIRECTED COMPILERS.” 1962, https://doi.org/10.21236/ad0296186.
Warshall, Stephen. 1962. “SUMMARY OF A METHOD FOR THE AUTOMATIC CONSTRUCTION OF SYNTAX DIRECTED COMPILERS.” https://doi.org/10.21236/ad0296186.
Warshall, S. (1962) ‘SUMMARY OF A METHOD FOR THE AUTOMATIC CONSTRUCTION OF SYNTAX DIRECTED COMPILERS’. Available at: https://doi.org/10.21236/ad0296186.
@article{warshall1962summary,
title = {{SUMMARY OF A METHOD FOR THE AUTOMATIC CONSTRUCTION OF SYNTAX DIRECTED COMPILERS}},
author = {Warshall, Stephen},
year = {1962},
doi = {10.21236/ad0296186}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.
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