Subject length in English-Arabic simultaneous interpreting

Abstract Syntactic complexity poses significant challenges in simultaneous interpreting (SI), affecting both the process and product and requiring interpreters to cope using various tactics. The role of subject length in English-Arabic SI has received little attention. This study investigates the correlation between SL subject length and structural choices in Arabic SI. A bilingual corpus of authentic English conference speeches and their professional Arabic SIs was analyzed. The results revealed a tendency to mirror English subject–verb–object (SVO) structures by opting for the Arabic marked SVO pattern instead of the more typical verb–subject–object (VSO) order. Subject length was found to be a reliable predictor of structural choice, with a weak but statistically significant correlation indicating that longer subjects slightly increase the likelihood of selecting SVO. This pattern suggests that structural alignment is influenced by automatic priming tendencies interacting with strategic load management, with clear implications for interpreter training and professional practice.

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Publication Details

Journal
Translation Cognition & Behavior
Published
2026-04-16
DOI
https://doi.org/10.1075/tcb.25023.alz
Primary Topic
Interpreting and Communication in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Subject length in English-Arabic simultaneous interpreting

Rafik Jamoussi, Ali Salim Rashid Alghafri, Aladdin Al Zahran, Eassa Ali Mohammed Ali
Translation Cognition & Behavior
Interpreting and Communication in Healthcare
article

Subject length in English-Arabic simultaneous interpreting

Rafik Jamoussi, Ali Salim Rashid Alghafri, Aladdin Al Zahran, Eassa Ali Mohammed Ali
article en

Abstract

Abstract Syntactic complexity poses significant challenges in simultaneous interpreting (SI), affecting both the process and product and requiring interpreters to cope using various tactics. The role of subject length in English-Arabic SI has received little attention. This study investigates the correlation between SL subject length and structural choices in Arabic SI. A bilingual corpus of authentic English conference speeches and their professional Arabic SIs was analyzed. The results revealed a tendency to mirror English subject–verb–object (SVO) structures by opting for the Arabic marked SVO pattern instead of the more typical verb–subject–object (VSO) order. Subject length was found to be a reliable predictor of structural choice, with a weak but statistically significant correlation indicating that longer subjects slightly increase the likelihood of selecting SVO. This pattern suggests that structural alignment is influenced by automatic priming tendencies interacting with strategic load management, with clear implications for interpreter training and professional practice.

Translation Cognition & Behavior
Sohar University (OM)
Quality Education
Openalex Percentile: Top 12%
Interpreting and Communication in Healthcare
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