A comparative analysis of verb tense and aspect in Arabic and English using Google Translate

Abstract

The aim of this study is to examine the challenges of handling verb tense and aspect in Arabic to English machine translation. A small corpus of selected Arabic sentences was submitted to Google Translate for a contrastive analysis of Arabic and English verb tense use. The main purpose of this study is to provide an understanding of morphology and forms of Arabic and English verbs in their syntactic context, in order to reveal details that can be used in current machine processing systems.

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Item Type:	Article
Authors/Creators:	Alasmari, J Watson, J Atwell, E https://orcid.org/0000-0001-9395-3764
Keywords:	Google Translate, Arabic & English verbs, morphology, tense
Dates:	Accepted: 1 September 2017 Published: September 2017
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User:	Symplectic Publications
Date Deposited:	23 May 2018 11:37
Last Modified:	06 Jul 2018 10:14
Status:	Published
Publisher:	Design for Scientific Renaissance
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:131133

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A comparative analysis of verb tense and aspect in Arabic and English using Google Translate

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