Title: Fully automated Arabic to English machine translation system: transfer-based approach of AE-TBMT

Authors: Mohammed Mahmoud Abu Shquier; Khaled M. Alhawiti

Addresses: Faculty of Computer Science and Information Technology, Jerash University, Jordan ' Department of Information Technology, University of Tabuk, Tabuk, KSA

Abstract: Transfer-based technique is currently one of the most widely used methods of machine translation. The idea behind this method is to have an intermediate representation that captures the meaning of the original sentence in order to generate the correct translation. In this paper we have explored several features of Arabic pertinent to MT. The hypothesis under investigation and main aims of this paper are to build a robust lexical Machine Translation (MT) system that will accept Arabic source sentences (SL) and generate English sentences as a target language (TL), and to examine how the challenges imposed by this particular language pair are tackled. The paper represents as well a starting point for the future implementation of a successful Arabic MT engine. The conducted experiment proves that our system (AE-TBMT) has scored the highest percentage by 96.6%, this means that only three percent of the entire test examples have not been handled correctly, and this result is considered fair if not good, as the other three systems score below that mark.

Keywords: machine translation; transfer-based approach; Arabic natural language processing; AE-TBMT.

DOI: 10.1504/IJICT.2017.084341

International Journal of Information and Communication Technology, 2017 Vol.10 No.4, pp.376 - 391

Received: 06 Oct 2014
Accepted: 30 Oct 2014

Published online: 27 Apr 2017 *

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