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A neural-network architecture for syntax analysis
1999
IEEE Transactions on Neural Networks
Artificial neural networks (ANN's), due to their inherent parallelism, offer an attractive paradigm for implementation of symbol processing systems for applications in computer science and artificial intelligence. This paper explores systematic synthesis of modular neural-network architectures for syntax analysis using a prespecified grammar-a prototypical symbol processing task which finds applications in programming language interpretation, syntax analysis of symbolic expressions, and
doi:10.1109/72.737497
pmid:18252507
fatcat:76puh6lgtbhbfcoab5pb33qsfe