Arabic machine translation: a survey

Arwa Alqudsi, Nazlia Omar, Khalid Shaker

Research output: Contribution to journalArticle

14 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)549-572
Number of pages24
JournalArtificial Intelligence Review
Volume42
Issue number4
DOIs
Publication statusPublished - 2012

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Linguistics
Learning systems
spoken language
linguistics
Machine Translation
language
learning
community

Keywords

  • Arabic language morphology
  • Arabic machine translation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Language and Linguistics
  • Linguistics and Language

Cite this

Arabic machine translation : a survey. / Alqudsi, Arwa; Omar, Nazlia; Shaker, Khalid.

In: Artificial Intelligence Review, Vol. 42, No. 4, 2012, p. 549-572.

Research output: Contribution to journalArticle

Alqudsi, Arwa ; Omar, Nazlia ; Shaker, Khalid. / Arabic machine translation : a survey. In: Artificial Intelligence Review. 2012 ; Vol. 42, No. 4. pp. 549-572.
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