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Article type: Research Article
Authors: Mandal, Kailash Patia; * | Mukherjee, Prasenjita | Chakraborty, Baisakhia | Chattopadhyay, Atanub
Affiliations: [a] Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India | [b] Department of BBA (H) and BCA (H), Deshabandhu Mahavidyalaya, Chittaranjan, India
Correspondence: [*] Corresponding author: Kailash Pati Mandal, Department of Computer Science and Engineering, National Institute of Technology, Durgapur, West Bengal, India. Tel.: +91 7407367323; E-mail: biltu.cse@gmail.com.
Abstract: Bengali is the seventh most widely spoken language in the world. Many researchers are working on developing Bengali language based information retrieval, question-answering, query-response systems. The proposed Bengali Language Query Processing System (BLQPS) is based on natural language query-response model. Bengali language has been used in the model to extract knowledge data from a default database. The system is based on scoring and pattern generation algorithm that is able to generate structure query language (SQL) from natural language query in Bengali with the help of a synonym database. The proposed system is domain based and a large number of words have been initialized in the synonym database. The SQL is formulated from semantic analysis. Further, the generated SQL has been used to extract knowledge data in Bengali language from the default database.
Keywords: Query-response, scoring and pattern generation based algorithm, Structure Query Language (SQL), Semantic analysis, Bengali Language Query Processing System (BLQPS), Natural Language Processing (NLP)
DOI: 10.3233/IDT-180074
Journal: Intelligent Decision Technologies, vol. 13, no. 2, pp. 177-192, 2019
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