An efficient easily adaptable system for interpreting natural language queries
Computational Linguistics
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Natural Language Processing with Python
Natural Language Processing with Python
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Natural language specifications are the first concrete behavioral description which is the basis for any manually generated formal behavioral model. Natural language is preferred as the initial description method mainly because it is much simpler for a designer to use than existing hardware description languages. The focus of this project is the extraction of behavioral information from a natural language specification to generate a formal behavioral description with clear and unambiguous semantics. In the initial effort presented here, we employ semantic parsing to identify key information describing bus transactions in the natural language specification. The identified information is used to generate Verilog tasks which embody bus transactions. To our knowledge, the work presented here is the first attempt to generate simulatable Verilog from natural language descriptions.