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Updated: Apr 4, 2026

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
Published on: September 5, 2019
Is Speech Planning More Linearly or More Hierarchically Incremental in Consecutive Interpreting?
Bilingual interpreters adapt sentence planning under cognitive load by using hierarchical incrementality, preparing larger frameworks to manage complex structures and reduce integration costs, enhancing fluency in L2 production.
Area of Science:
- Psycholinguistics
- Cognitive Science
- Second Language Acquisition
Background:
- Sentence production can be linear (word-by-word) or hierarchical (framework-based).
- Cognitive load impacts planning scope, but bilingual adaptation under L2 production demands is understudied.
- Structure-related load's effect on bilingual planning scope in interpreting requires investigation.
Purpose of the Study:
- To examine how structure-related cognitive load affects bilinguals' sentence planning scope in consecutive interpreting.
- To investigate the interplay between source-target symmetry, structural length, and planning strategies.
- To understand how interpreters manage processing demands in L2 production.
Main Methods:
- 39 Chinese-English interpreter trainees participated.
- Interpreters translated sentences varying in source-target symmetry and length.
- Planning scope was measured using reordering rates, dependency relations, and disfluency analysis.
Main Results:
- Sentence asymmetry and length significantly increased reordering probability, favoring hierarchical incrementality.
- Interpreters expanded planning scope pre-articulation to minimize downstream costs and facilitate reformulations.
- Linear incrementality reduced initial planning effort but often compromised fluency.
Conclusions:
- Bilingual sentence production planning is flexible and adaptive, adjusting to cognitive load.
- Hierarchical incrementality is employed to manage structural complexity and integration costs.
- Interpreters balance planning effort with fluency to optimize L2 production.
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