语法
计算机科学
认知
自然语言处理
压力(语言学)
语言学
程序设计语言
人工智能
心理学
神经科学
哲学
作者
Agnieszka Chmiel,Marta Kajzer-Wietrzny,Danijel Koržinek,Dariusz Jakubowski,Przemysław Janikowski
出处
期刊:Translation, cognition & behavior
[John Benjamins Publishing Company]
日期:2024-10-10
卷期号:7 (1): 22-47
标识
DOI:10.1075/tcb.00091.chm
摘要
Abstract This corpus-based study examines the effect of syntactic complexity in the source language on simultaneous interpreters’ cognitive load and stress. Previous studies show contrasting results regarding the source text syntax and cognitive load in interpreting, while the link between syntactic complexity and interpreters’ stress remains unexplored. Our research aims to fill this gap by measuring cognitive load through filled and silent pauses, and stress through fundamental frequency. We evaluated syntactic complexity by calculating dependency distance, i.e., the number of words between syntactically dependent elements. We used PINC, the Polish Interpreting Corpus ( Chmiel et al. 2022 ), as our dataset. We found that higher syntactic complexity in the source text increases stress and cognitive load among interpreters. Additionally, when interpreters produce complex syntax themselves, their stress increases. The study provides empirical evidence for simplification in interpreting and shows that syntactic complexity in interpreters’ own output does not necessarily lead to increased cognitive load.
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