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Quantifying Interpreting Types: Language Sequence Mirrors Cognitive Load Minimization in Interpreting Tasks.

Junying Liang1, Qianxi Lv1, Yiguang Liu1

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Summary
This summary is machine-generated.

This study reveals distinct sequential language patterns in simultaneous interpreting and consecutive interpreting. Frequency motifs show both methods minimize cognitive load, differentiating interpreting types.

Keywords:
cognitive load minimizationfrequency motifinterpreting typeslanguage sequenceposition-dependent properties

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Area of Science:

  • Cognitive Science
  • Linguistics
  • Psychology

Background:

  • Interpreting theories propose varied processing for different types.
  • Quantitative studies show lexical/syntactic differences, but grammatical parsing is limited.
  • Frequency motifs offer a grammar-independent approach to analyze language sequences.

Purpose of the Study:

  • To investigate frequency motif properties in simultaneous interpreting (SI) and consecutive interpreting (CI) outputs.
  • To explore sequential generation behaviors in different interpreting types.
  • To determine if frequency motifs can differentiate between SI and CI and inform cognitive load theories.

Main Methods:

  • Analysis of frequency motifs in simultaneous interpreting and consecutive interpreting outputs.
  • Examination of motif distribution, length, and position-dependent properties.
  • Application of a non-grammatically-bound language sequence analysis.

Main Results:

  • Significant differences found in frequency motif distribution, length, and position-dependent properties between SI and CI.
  • Frequency motif features indicate adherence to the least effort principle in both interpreting types.
  • Interpreting outputs exhibit unique sequential organization influenced by task demands.

Conclusions:

  • Frequency motifs can effectively differentiate between simultaneous interpreting and consecutive interpreting.
  • Findings support the least effort principle in interpreting and offer insights into cognitive load management.
  • This language sequential unit provides evidence for how task features shape output organization under varying cognitive demands.