Automated Construction of Arabic-English Parallel Corpus

Document Type : Original Article

Abstract

Large-scale parallel corpus has become a reliable resource to cross the
language barriers between the user and the web. These parallel texts provide the
primary training material for statistical translation models and testing machine
translation systems. Arabic-English parallel texts are not available in sufficient
quantities and manual construction is time consuming. Therefore, this paper
presents a technique that aims to construct an Arabic-English corpus automatically
through web mining. The proposed technique is straightforward, automated, and
portable to any pair of languages.

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