Computational Intelligence Model for Code Generation from Natural Language Problem Statement
| Autor: | P. A. Bamhore, A. B. Kulkarni, Darshan Vishwasrao Medhane, S. S. Karandikar, S. R. Gawade |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
Programming language Problem statement 020207 software engineering Computational intelligence 02 engineering and technology Ontology (information science) computer.software_genre Constructed language 020204 information systems 0202 electrical engineering electronic engineering information engineering Code generation computer Ontology alignment Natural language Spoken language |
| Zdroj: | 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA). |
| Popis: | Computers have become an integral part of the scientific world. The real-life problems are dealt with an algorithmic approach. Algorithms being independent of programming language, they can be developed using any natural spoken language that a person is comfortable with. However, the problem lies in implementing it. The computational intelligence model proposed in this paper approaches such problem by carrying out mapping at Semantic level using Natural Language Processing and ontology and applying Ontology Matching techniques to derive an automatic translator of natural language problem statement into the artificial language (here Java). The intermediate steps of translation are processed by using corpus of English for developing some techniques for mapping linguistic constructs to programming structures. The modern NLP techniques can make possible the conversion of natural language statements to a programming language. Overall, this paper proposes a knowledge-based expert system which makes use of facts and rules to build the solution. |
| Databáze: | OpenAIRE |
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