Transformations in the Translation of Hard and Soft News Reports into Arabic

Hala Sharkas

doi:10.33806/ijaes2000.22.2.3

Transformations in the Translation of Hard and Soft News Reports into Arabic

Hala Sharkas

Department of Languages and Literature

Research output: Contribution to journal › Article › peer-review

Abstract

This study examines local transformations as a translation strategy of the news report genre from English into Arabic. It analyzes the frequency of deletion, substitution, addition, and reorganization to identify any relation between applying these transformations and news topics. This is achieved via a textual analysis of a parallel corpus of 60 texts of hard and soft news reports in English and Arabic derived from two sources: the Reuters (news agency) and BBC (news broadcaster) websites. Results show that deletion is by far the most frequently used transformation in both soft and hard news. Transformation frequencies are discussed in relation to the structural elements of news reports.

Original language	English
Pages (from-to)	43+64
Journal	International Journal of Arabic-English Studies
Volume	22
Issue number	2
DOIs	https://doi.org/10.33806/ijaes2000.22.2.3
Publication status	Published - Jun 2022

Keywords

hard news
news translation
soft news
transformations

ASJC Scopus subject areas

Cultural Studies
Language and Linguistics
Literature and Literary Theory

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10.33806/ijaes2000.22.2.3

Cite this

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title = "Transformations in the Translation of Hard and Soft News Reports into Arabic",

abstract = "This study examines local transformations as a translation strategy of the news report genre from English into Arabic. It analyzes the frequency of deletion, substitution, addition, and reorganization to identify any relation between applying these transformations and news topics. This is achieved via a textual analysis of a parallel corpus of 60 texts of hard and soft news reports in English and Arabic derived from two sources: the Reuters (news agency) and BBC (news broadcaster) websites. Results show that deletion is by far the most frequently used transformation in both soft and hard news. Transformation frequencies are discussed in relation to the structural elements of news reports.",

keywords = "hard news, news translation, soft news, transformations",

author = "Hala Sharkas",

note = "Funding Information: This work was supported by the UAEU under Grant G00003142. I would like to thank my students who assisted in compiling the corpus and performing the initial phase of analysis: Farah Hossam Atef Shalabi, Lial Hussein Khader Al-Rashaidat, and Raisa Saber Ahmed Albloushi. Publisher Copyright: {\textcopyright} 2022 Librairie du Liban Publishers. All rights reserved.",

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PY - 2022/6

Y1 - 2022/6

N2 - This study examines local transformations as a translation strategy of the news report genre from English into Arabic. It analyzes the frequency of deletion, substitution, addition, and reorganization to identify any relation between applying these transformations and news topics. This is achieved via a textual analysis of a parallel corpus of 60 texts of hard and soft news reports in English and Arabic derived from two sources: the Reuters (news agency) and BBC (news broadcaster) websites. Results show that deletion is by far the most frequently used transformation in both soft and hard news. Transformation frequencies are discussed in relation to the structural elements of news reports.

AB - This study examines local transformations as a translation strategy of the news report genre from English into Arabic. It analyzes the frequency of deletion, substitution, addition, and reorganization to identify any relation between applying these transformations and news topics. This is achieved via a textual analysis of a parallel corpus of 60 texts of hard and soft news reports in English and Arabic derived from two sources: the Reuters (news agency) and BBC (news broadcaster) websites. Results show that deletion is by far the most frequently used transformation in both soft and hard news. Transformation frequencies are discussed in relation to the structural elements of news reports.

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Transformations in the Translation of Hard and Soft News Reports into Arabic

Abstract

Keywords

ASJC Scopus subject areas

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