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Related Experiment Video

Updated: Jul 8, 2025

Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
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Rational Sentence Interpretation in Mandarin Chinese.

Meilin Zhan1, Sihan Chen1, Roger Levy1

  • 1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology.

Cognitive Science
|December 11, 2023
PubMed
Summary

The noisy-channel model accurately predicts how Mandarin speakers interpret sentences, similar to English speakers. Sentence interpretation relies on real-world plausibility and likelihood of sentence corruption, regardless of language.

Keywords:
MandarinNoisy channelPsycholinguisticsRational inferenceSentence processing

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Area of Science:

  • Psycholinguistics
  • Cognitive Science
  • Computational Linguistics

Background:

  • The noisy-channel model explains sentence interpretation by integrating meaning plausibility and sentence corruption likelihood.
  • Previous studies validated this model in English, but its cross-linguistic applicability remained untested.

Purpose of the Study:

  • To investigate the validity of the noisy-channel model in Mandarin Chinese, a linguistically distinct language.
  • To compare sentence interpretation in written versus auditory modalities in Mandarin.

Main Methods:

  • Native Mandarin speakers were presented with syntactically alternated sentences in written and auditory formats.
  • Sentences varied in literal plausibility, requiring different types of edits (morpheme deletion/insertion, preposition/verb exchange) to become plausible.
  • Comprehension questions assessed whether participants interpreted sentences literally or inferred a more plausible meaning.

Main Results:

  • Mandarin speakers showed the highest inference rates for sentences requiring single morpheme edits (deletion/insertion).
  • Inference rates decreased for sentences needing preposition or verb exchanges.
  • Written sentences elicited more inferences than auditory sentences, potentially due to Chinese orthography.

Conclusions:

  • The noisy-channel model's predictions hold for Mandarin Chinese, demonstrating its robustness across languages.
  • Sentence interpretation is influenced by both semantic plausibility and the perceived likelihood of linguistic errors.
  • Cross-modal differences in inference suggest processing variations between written and spoken Chinese.