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Speaker-specific processing of anomalous utterances.

Laurel Brehm1,2,3, Carrie N Jackson1,4, Karen L Miller1,5

  • 11 Center for Language Science, The Pennsylvania State University, University Park, PA, USA.

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|March 6, 2018
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Summary
This summary is machine-generated.

Readers interpret grammatical errors and sentence blends non-literally, inferring intended meanings. Speaker identity influences this, with standardized English speakers eliciting more non-literal interpretations for errors.

Keywords:
Sentence processinggood-enough processingimplicit negationnoisy channelsentence blendssubject–verb agreement

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Area of Science:

  • Psycholinguistics
  • Cognitive Science
  • Linguistics

Background:

  • Readers often interpret grammatical errors and sentence blends non-literally.
  • They infer that a more frequent or canonical utterance was intended.

Purpose of the Study:

  • Examine how interlocutor identity affects processing and interpretation of anomalous sentences.
  • Investigate the influence of speaker characteristics on sentence comprehension.

Main Methods:

  • Self-paced reading paradigm presenting anomalous sentences in "emails" attributed to various writers.
  • Comprehension questions probed sentence interpretation based on item and speaker properties.
  • Compared standardized American English speakers to L2 English speakers and non-Standardized American English dialect speakers.

Main Results:

  • Agreement errors and "without-blends" led to more non-literal responses than canonical items.
  • Agreement errors prompted more non-literal interpretations when attributed to standardized American English speakers compared to non-Standardized groups.
  • Speaker identity significantly modulated sentence interpretation.

Conclusions:

  • Sentence comprehension relies on expectations and heuristics about likely utterances.
  • These expectations are shaped by language experience, speaker-specific differences, and cognitive biases.
  • Interlocutor identity is a crucial factor in processing and interpreting linguistic anomalies.