Development of the Minangkabau Local Language Translation Machine Based on Stemming

Sovia, Rini and Defit, Sarjon and Yuhandri, Yuhandri (2022) Development of the Minangkabau Local Language Translation Machine Based on Stemming. In: International Simposium On Information Technoogy And Digital Innovation.

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Abstract

Abstract— Indonesia is an archipelagic country that has hundreds of ethnic groups and regional languages. One of the well-known regional languages is the Minangkabau language (BM) which is dominantly used in several areas in Sumatra which are in the Austronesian family. The habit of the Minangkabau people in their daily life is to always use the Minangkabau language (BM) in communicating. Usually, the Minang tribe always communicates every day using the Minangkabau language, so that it is unique for the people around them, thus creating curiosity to know BM. So this research was conducted to translate BM into Indonesian. The purpose of this research is to translate BM into Indonesian. By using the translation engine of the Minangkabau Language Stemming Algorithm (SBMK). The data processed were 600 basic words in printed dictionaries and sentences in 12 BM documents. The level of accuracy of the translation results from this study is 98.33% for basic words and 94.68% for sentences in the document. The resulting algorithm is very precise to translate and process the basic word spelling checker in BM words and documents into Indonesian.

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