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The Rational Processing of Language Illusions
The Rational Processing of Language Illusions
The Rational Processing of Language Illusions

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자료유형  
 학위논문 서양
최종처리일시  
20250211152757
ISBN  
9798346532996
DDC  
401
저자명  
Zhang, Yuhan.
서명/저자  
The Rational Processing of Language Illusions
발행사항  
[Sl] : Harvard University, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
221 p
주기사항  
Source: Dissertations Abstracts International, Volume: 86-05, Section: B.
주기사항  
Advisor: Davidson, Kathryn;Gibson, Edward.
학위논문주기  
Thesis (Ph.D.)--Harvard University, 2024.
초록/해제  
요약This thesis presents a unified rational account for three so-called language illusions in English. Language illusions refer to sentences that are ungrammatical, semantically ill-formed, or implausible but are still considered acceptable by native speakers of that language. They pose a great challenge to the scientific inquiry into the nature of language processing, especially in the understanding of why there is a mismatch between the actual comprehension and the literal form and meaning of the sentence. My thesis shows that this pattern of language comprehension manifests a unique trait of human beings when they deal with uncertainty.The three language illusions are the depth-charge illusion (e.g., No head injury is tootrivial to be ignored.), the comparative illusion (e.g., More people have been to Russia than I have.), and the negative polarity illusion (e.g., Many authors that few critics recommended have ever received acknowledgment for a best-selling novel). The problems for each of the language illusions can be traced back to meaning implausibility, semantic ill-formedness, and ungrammaticality, respectively. Numerous studies have investigated the effect of different linguistic factors on the degree of the illusion but none has provided a satisfactory explanation, let alone a unified one.The unified account I attempt here argues that humans rationally infer the intended message behind the perceived linguistic signal, by weighing the prior probability of that intended message and how likely the message is to be encapsulated in the perceived signal. The inference could cover the entire sentence or only part of it. This theory originates from the noisy-channel theory of language processing (e.g., Futrell et al., 2020; Gibson et al., 2013a; Levy, 2008) under the information theory (Shannon, 1948). Ultimately, this account exemplifies rationality in language comprehension. By synthesizing the literature on rationality, I summarize the rational behavior of language processing as a set of behaviors that optimize the information gain from perceived sentences by applying the Bayes rule to deal with uncertainty and making trade-offs between information accuracy and cognitive load. I provide empirical data from human experiments as support.I also investigate whether large language models can be "tricked" by these illusions, as a starting point to investigate whether their processing patterns exhibit traits of rationality.
일반주제명  
Linguistics
일반주제명  
Cognitive psychology
일반주제명  
Psychology
일반주제명  
Language
일반주제명  
Computer science
키워드  
Bayesian modeling
키워드  
Language comprehension
키워드  
Language illusions
키워드  
Large language models
키워드  
Rational processing
기타저자  
Harvard University Linguistics
기본자료저록  
Dissertations Abstracts International. 86-05B.
전자적 위치 및 접속  
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MARC

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■1001  ▼aZhang,  Yuhan.▼0(orcid)0000-0002-0550-9581
■24510▼aThe  Rational  Processing  of  Language  Illusions
■260    ▼a[Sl]▼bHarvard  University▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a221  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  86-05,  Section:  B.
■500    ▼aAdvisor:  Davidson,  Kathryn;Gibson,  Edward.
■5021  ▼aThesis  (Ph.D.)--Harvard  University,  2024.
■520    ▼aThis  thesis  presents  a  unified  rational  account  for  three  so-called  language  illusions  in  English.  Language  illusions  refer  to  sentences  that  are  ungrammatical,  semantically  ill-formed,  or  implausible  but  are  still  considered  acceptable  by  native  speakers  of  that  language.  They  pose  a  great  challenge  to  the  scientific  inquiry  into  the  nature  of  language  processing,  especially  in  the  understanding  of  why  there  is  a  mismatch  between  the  actual  comprehension  and  the  literal  form  and  meaning  of  the  sentence.  My  thesis  shows  that  this  pattern  of  language  comprehension  manifests  a  unique  trait  of  human  beings  when  they  deal  with  uncertainty.The  three  language  illusions  are  the  depth-charge  illusion  (e.g.,  No  head  injury  is  tootrivial  to  be  ignored.),  the  comparative  illusion  (e.g.,  More  people  have  been  to  Russia  than  I  have.),  and  the  negative  polarity  illusion  (e.g.,  Many  authors  that  few  critics  recommended  have  ever  received  acknowledgment  for  a  best-selling  novel).  The  problems  for  each  of  the  language  illusions  can  be  traced  back  to  meaning  implausibility,  semantic  ill-formedness,  and  ungrammaticality,  respectively.  Numerous  studies  have  investigated  the  effect  of  different  linguistic  factors  on  the  degree  of  the  illusion  but  none  has  provided  a  satisfactory  explanation,  let  alone  a  unified  one.The  unified  account  I  attempt  here  argues  that  humans  rationally  infer  the  intended  message  behind  the  perceived  linguistic  signal,  by  weighing  the  prior  probability  of  that  intended  message  and  how  likely  the  message  is  to  be  encapsulated  in  the  perceived  signal.  The  inference  could  cover  the  entire  sentence  or  only  part  of  it.  This  theory  originates  from  the  noisy-channel  theory  of  language  processing  (e.g.,  Futrell  et  al.,  2020;  Gibson  et  al.,  2013a;  Levy,  2008)  under  the  information  theory  (Shannon,  1948).  Ultimately,  this  account  exemplifies  rationality  in  language  comprehension.  By  synthesizing  the  literature  on  rationality,  I  summarize  the  rational  behavior  of  language  processing  as  a  set  of  behaviors  that  optimize  the  information  gain  from  perceived  sentences  by  applying  the  Bayes  rule  to  deal  with  uncertainty  and  making  trade-offs  between  information  accuracy  and  cognitive  load.  I  provide  empirical  data  from  human  experiments  as  support.I  also  investigate  whether  large  language  models  can  be  "tricked"  by  these  illusions,  as  a  starting  point  to  investigate  whether  their  processing  patterns  exhibit  traits  of  rationality.
■590    ▼aSchool  code:  0084.
■650  4▼aLinguistics
■650  4▼aCognitive  psychology
■650  4▼aPsychology
■650  4▼aLanguage
■650  4▼aComputer  science
■653    ▼aBayesian  modeling
■653    ▼aLanguage  comprehension
■653    ▼aLanguage  illusions
■653    ▼aLarge  language  models
■653    ▼aRational  processing
■690    ▼a0290
■690    ▼a0633
■690    ▼a0621
■690    ▼a0984
■690    ▼a0679
■71020▼aHarvard  University▼bLinguistics.
■7730  ▼tDissertations  Abstracts  International▼g86-05B.
■790    ▼a0084
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17163822▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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