Bahasa Melayu dialect translator and detector (Malayfy)

Dirgantari, Adella Java (2023) Bahasa Melayu dialect translator and detector (Malayfy). Project Report. Melaka, Malaysia, Universiti Teknikal Malaysia Melaka. (Submitted)

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Abstract

The Bahasa Melayu Dialect Translator and Detector (Malayfy) system is an innovative solution designed to overcome language barriers and facilitate effective communication between users of different dialects in the context of Bahasa Melayu. This system consists of three modules: a language translator from English to Bahasa Melayu, a Bahasa Melayu dialect translator, and a Bahasa Melayu dialect detector. The project's primary goal is to create a reliable and precise system capable of translating English text into Bahasa Melayu while also translating standard Bahasa Melayu into dialects. Additionally, the dialect detection module employs the Random Forest algorithm, renowned for its ability to handle complex classification tasks, to predict the dialect of user input sentences. The project encompasses various stages, including a literature review, data collection, system design, and implementation. The system's effectiveness is assessed based on its accuracy, efficiency, and user satisfaction. The current issues associated with the absence of dialect detection and translation in existing machine translation tools for Bahasa Melayu are anticipated to be addressed with the development of this system. Effective communication with Bahasa Melayu speakers is crucial in various fields, including tourism, education, healthcare, and business. The successful implementation of this system, driven by the power of machine learning algorithms like Random Forest, could have significant implications in these fields and others.

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