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Arabic-to-Malay Machine Translation Using Transfer Approach

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  • Mohammed M. Abu Shquier

Abstract

Translation from/to Arabic has been widely studied recently. This study focuses on the translation of Arabic as a source language (SL) to Malay as a target language (TL). The proposed prototype will be conducted to map the SL ”meaning”with the most equivalent translation in the TL. In this paper, we will investigate Arabic-Malay Machine Translation features (i.e., syntactic, semantic, and morphology), our proposed method aims at building a robust lexical Machine Translation prototype namely (AMMT). The paper proposes an ongoing research for building a successful Arabic-Malay MT engine. Human judgment and bleu evaluation have been used for evaluation purposes, The result of the first experiment prove that our system(AMMT) has outperformed several well-regarded MT systems by an average of 98, while the second experiment shows an average score of 1-gram, 2-gram and 3-gram as 0.90, 0.87 and 0.88 respectively. This result could be considered as a contribution to the domain of natural language processing (NLP).

Suggested Citation

  • Mohammed M. Abu Shquier, 2020. "Arabic-to-Malay Machine Translation Using Transfer Approach," Computer and Information Science, Canadian Center of Science and Education, vol. 13(4), pages 1-1, November.
    • Handle: RePEc:ibn:cisjnl:v:13:y:2020:i:4:p:1
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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