• Refine your search:
  • 
    Keyword:
    
    • Experimental Psychology (2)
    • Humans (2)
    • Language (2)
    • Adaptation (1)
    • Article (1)
    • Bayes Theorem (1)
    • Cognitive Sciences (1)
    • Communication (1)
    • Communication and Culture (1)
    • Comprehension (1)
    •   more
  • 
    Creator / Publisher:
    
    • Gibson, Edward (4)
    • Ryskin, Rachel (4)
    • Bergen, Leon (2)
    • Eddy, Marianna (2)
    • Fedorenko, Evelina (2)
    • Futrell, Richard (2)
    • Kiran, Swathi (2)
    • Stearns, Laura (2)
  • 
    Year:
    
    • 2021 (2)
    • 2018 (2)
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 4 of 4 1 An ERP index of real-time error correction within a noisy-channel framework of human communication. Ryskin, Rachel; Stearns, Laura; Bergen, Leon. - : eScholarship, University of California, 2021 BASE Show details 2 An ERP index of real-time error correction within a noisy-channel framework of human communication Ryskin, Rachel; Stearns, Laura; Bergen, Leon... In: bioRxiv (2021) BASE Show details 3 Comprehenders model the nature of noise in the environment. Ryskin, Rachel; Futrell, Richard; Kiran, Swathi; Gibson, Edward. - : eScholarship, University of California, 2018 Abstract: In everyday communication, speakers make errors and produce language in a noisy environment. Recent work suggests that comprehenders possess cognitive mechanisms for dealing with noise in the linguistic signal: a noisy-channel model. A key parameter of these models is the noise model: the comprehender's implicit model of how noise affects utterances before they are perceived. Here we examine this noise model in detail, asking whether comprehension behavior reflects a noise model that is adapted to context. We asked readers to correct sentences if they noticed errors, and manipulated context by including exposure sentences containing obvious deletions (A bystander was rescued by the fireman in the nick time.), insertions, exchanges, mixed errors, or no errors. On test sentences (The bat swung the player.), participants' corrections differed depending on the exposure condition. The results demonstrate that participants model specific types of errors and make inferences about the intentions of the speaker accordingly. Keyword: Adaptation; Bayes Theorem; Communication and Culture; Comprehension; Error correction; Experimental Psychology; Humans; Information and Computing Sciences; Language; Linguistics; Noisy-channel; Psychology and Cognitive Sciences; Rational inference; Reading; Sentence comprehension URL: https://escholarship.org/uc/item/9403g5ss BASE Hide details 4 Comprehenders Model the Nature of Noise in the Environment Ryskin, Rachel; Futrell, Richard; Kiran, Swathi. - 2018 BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 4 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0