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Teaching machines to write like humans using L-attributed grammar

Engineering Applications of Artificial Intelligence, 2020
Abstract Reading and writing are easy for humans. The automatic reading of handwritten characters has been studied for several decades. Machine learning algorithms for reading tasks often require a huge amount of data to perform with similar accuracy to humans, yet it is also difficult to gain sufficient meaningful data.
Cheng-Lin Liu, Yunxue Shao
exaly   +3 more sources

L-attributed LL(1)-grammars are LR-attributed

Information Processing Letters, 1986
Ikuo Nakata, Masataka Sassa
exaly   +3 more sources

YooccLa: a parser generator for L-attributed grammars

Proceedings 37th International Conference on Technology of Object-Oriented Languages and Systems. TOOLS-Pacific 2000, 2002
This paper argues that a parser generator can be developed that requires less knowledge of parser technology than most existing parser generators;that can bring parser technology within the reach of more software engineers;and that can allow a parser to be used where a designer might otherwise have chosen a fully procedural solution. A parser generator,
G. Butler, Christine Mingins
openaire   +1 more source

An attributed translation grammar for PL/0

International Journal of Computer Mathematics, 1987
exaly  

A Typed Attributed Graph Grammar with Inheritance for the Abstract Syntax of UML Class and Sequence Diagrams

Electronic Notes in Theoretical Computer Science, 2008
Gabriele Taentzer   +2 more
exaly  

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