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226278

Cohesion in Human and Machine Translation

Article

Last updated: 25 Dec 2024

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Tags

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Abstract

Machine translation technology has consistently improved to the extent that it is frequently compared with human translation performance. This study reports a simple comparison of two translations of an Arabic literary text: a short story written by the Egyptian writer Yousef Idris. One translation is human made and the other is a machine translation using Google Translate. The study focuses on the use of some cohesive devices in the two translated texts. Two types of grammatical cohesion were selected for analysis, namely, reference and conjunction. The findings of the study show that cohesive properties vary according to the translation method involved, wither it is human or machine translation. The results obtained are indicative of the limitations of machine translation to produce a reliable translation of a literary work. Unlike the human translator whose use of cohesive devices is balanced and fairly distributed to the text, Google Translate uses such devices excessively, which makes the machine translated text incoherent, loose and ambiguous

DOI

10.21608/opde.2021.226278

Keywords

Machine Translation, human translation, Google Translate, Cohesive Devices

Authors

First Name

Mohamed

Last Name

Tohamy

MiddleName

-

Affiliation

-

Email

mmtohamy@gmail.com

City

-

Orcid

-

Volume

76

Article Issue

1

Related Issue

32465

Issue Date

2021-10-01

Receive Date

2022-03-21

Publish Date

2021-10-01

Page Start

101

Page End

133

Print ISSN

1110-2721

Online ISSN

2735-3591

Link

https://opde.journals.ekb.eg/article_226278.html

Detail API

https://opde.journals.ekb.eg/service?article_code=226278

Order

5

Type

Original Article

Type Code

1,140

Publication Type

Journal

Publication Title

CDELT Occasional Papers in the Development of English Education

Publication Link

https://opde.journals.ekb.eg/

MainTitle

Cohesion in Human and Machine Translation

Details

Type

Article

Created At

22 Jan 2023