Indian Journal of Science and Technology
Year: 2021, Volume: 14, Issue: 44, Pages: 3254-3263
Smegnew Asemie1,*, Kassahun Azezew1, Birhanu Gardie1
1 School of Computing and informatics, Mizan-Tepi University, Ethiopia
* Corresponding author email: [email protected]
Received Date:15 July 2021, Accepted Date:04 November 2021, Published Date:22 December 2021
Background/Objectives: Information has become part of our existence and to access the information from database we need to be skilled with database query languages such as SQL. Hence in this study we propose Amharic Language Interface to Database (ALIDB). Here, the request is simple like asking a human to do so in a local language (Amharic). Method: So far, different techniques such as pattern matching, syntax based, semantic grammar based and Intermediate Representation Language systems have been used to develop NLIDB. Among these techniques, the study employed pattern matching and similarity checking for developing Amharic language text retrieval from the Database. Findings: The result of the experiment shows 91% accuracy. However, the scheme has no impact on Amharic temporal queries. Further development will be done on the algorithm that includes temporal queries in ALIDB. Novelty: Finally we identified 20 rules and thereby contributed a new pattern / algorithm for this language that converts Amharic sentence into a Structured Query Language (SQL) and fetch results from the Database.
Keywords: Amharic Language; Database interface; DBMS; NLIDB; NLP
© 2021 Asemie et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Published By Indian Society for Education and Environment (iSee)
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