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Arabic machine translation: a survey

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Abstract

Although there is no machine learning technique that fully meets human requirements, finding a quick and efficient translation mechanism has become an urgent necessity, due to the differences between the languages spoken in the world’s communities and the vast development that has occurred worldwide, as each technique demonstrates its own advantages and disadvantages. Thus, the purpose of this paper is to shed light on some of the techniques that employ machine translation available in literature, to encourage researchers to study these techniques. We discuss some of the linguistic characteristics of the Arabic language. Features of Arabic that are related to machine translation are discussed in detail, along with possible difficulties that they might present. This paper summarizes the major techniques used in machine translation from Arabic into English, and discusses their strengths and weaknesses.

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Authors and Affiliations

  1. Knowledge Technology Research Group (KT), School of Computer Science, Faculty of Information Science and Technology, University Kebangsaan Malaysia, 43600, UKM Bangi, Selangor, Malaysia

    Arwa Alqudsi & Nazlia Omar

  2. Department of Software Engineering, Faculty of Computer Science and Information Technology, University of Malaya, 50603, Lembah Pantai, Kuala Lumpur, Malaysia

    Khalid Shaker

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  1. Arwa Alqudsi
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  2. Nazlia Omar
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  3. Khalid Shaker
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Correspondence to Arwa Alqudsi.

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Alqudsi, A., Omar, N. & Shaker, K. Arabic machine translation: a survey. Artif Intell Rev 42, 549–572 (2014). https://doi.org/10.1007/s10462-012-9351-1

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