A Noisy-Channel Approach to Depth-Charge Illusions

35 Pages Posted: 7 Jun 2022

See all articles by Yuhan Zhang

Yuhan Zhang

Harvard University - Department of Linguistics

Rachel Ryskin

University of California, Merced

Edward Gibson

Massachusetts Institute of Technology (MIT)

Abstract

The “depth-charge” sentence, No head injury is too trivial to be ignored, is often interpreted as “no matter how trivial head injuries are, we should not ignore them” while the literal meaning is the opposite as “we should ignore them”. Four decades of research have failed to resolve the source of this entrenched semantic illusion. Here we adopt the noisy-channel framework for language comprehension to provide a potential explanation. We hypothesize that depth-charge sentences result from production errors whereby comprehenders derive the interpretation by weighing the plausibility of possible readings of the depth-charge sentences against the likelihood for plausible sentences to be produced with errors. In four experiments, we find that (1) the more plausible the intended meaning of the depth-charge sentence is, the more likely the sentence is to be misinterpreted; (2) the higher the likelihood of our hypothesized noise operations, the more likely depth-charge sentences are to be misinterpreted. These results suggest that misinterpretation is affected by both world knowledge and the distance between the depth-charge sentence and a plausible alternative, which is consistent with the noisy-channel framework.

Keywords: depth-charge sentence, semantic illusion, noisy-channel framework, speech error, language comprehension

undefined

Suggested Citation

Zhang, Yuhan and Ryskin, Rachel and Gibson, Edward, A Noisy-Channel Approach to Depth-Charge Illusions. Available at SSRN: https://ssrn.com/abstract=4130042 or http://dx.doi.org/10.2139/ssrn.4130042

Yuhan Zhang (Contact Author)

Harvard University - Department of Linguistics ( email )

Rachel Ryskin

University of California, Merced ( email )

Edward Gibson

Massachusetts Institute of Technology (MIT) ( email )

77 Massachusetts Avenue
50 Memorial Drive
Cambridge, MA 02139-4307
United States

0 References

    0 Citations

      Do you have a job opening that you would like to promote on SSRN?

      Paper statistics

      Downloads
      79
      Abstract Views
      419
      Rank
      649,757
      PlumX Metrics