Abstract: In Nigeria, the dominance of English as a medium of communication is worrying as minor indigenous languages are heading towards extinction. The main objective of this study is to develop a language framework that could take English input and translate it into Nupe. The theoretical framework was first considered. Due to the differences between the systems between English and Nupe and the lack of similar arrangements in English and Nupe languages, Transfer Rule-Based Machine Translation was used in the development of the system. It is used because it allows manual speech tagging, design and modelled of language translation systems. This process was designed using Unified Modeling Language (UML). UML is used to design the system flowchart, sequence diagram, use case diagram and class diagrams. A bilingual (dictionary) database is designed to store source language (English) and target language (Nupe) words with the Python programming language interpreter and test the translation grammar using a natural language application(NLTK). The results show that the system can provide translation of acceptable quality. The system can benefit many kinds of people as it allows them to process their translations quickly and easily.
Keywords: English, Nupe, Rule-based Approach, Machine Translation, Bilingual, tagging, Unified Modeling Language.
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DOI:
10.17148/IJARCCE.2022.11126
