The effect of context on noisy-channel sentence comprehension

被引:6
|
作者
Chen, Sihan [1 ]
Nathaniel, Sarah [1 ]
Ryskin, Rachel [2 ]
Gibson, Edward [1 ]
机构
[1] MIT, Dept Brain & Cognit Sci, 43 Vassar St, Cambridge, MA 02139 USA
[2] Univ Calif Merced, Dept Cognit & Informat Sci, 5200 North Lake Rd, Merced, CA 95343 USA
基金
美国国家科学基金会;
关键词
Noisy; -channel; Sentence comprehension; Context; Rational inference; Error correction; MISINTERPRETATION; INTEGRATION; MODEL; ERPS;
D O I
10.1016/j.cognition.2023.105503
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The process of sentence comprehension must allow for the possibility of noise in the input, e.g., from speaker error, listener mishearing, or environmental noise. Consequently, semantically implausible sentences such as The girl tossed the apple the boy are often interpreted as a semantically plausible alternative (e.g., The girl tossed the apple to the boy). Previous investigations of noisy-channel comprehension have relied exclusively on paradigms with isolated sentences. Because supportive contexts alter the expectations of possible interpretations, the noisy channel framework predicts that context should encourage more inference in interpreting implausible sentences, relative to null contexts (i.e. a lack of context) or unsupportive contexts. In the present work, we tested this prediction in four types of sentence constructions: two where inference is relatively frequent (double object prepositional object), and two where inference is rare (active-passive). We found evidence that in the two sentence types that commonly elicit inference, supportive contexts encourage noisy-channel inferences about the intended meaning of implausible sentences more than non-supportive contexts or null contexts. These results suggest that noisy-channel inference may be more pervasive in everyday language processing than previously assumed based on work with isolated sentences.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Noisy-channel language comprehension in aphasia: A Bayesian mixture modeling approach
    Ryskin, Rachel
    Gibson, Edward
    Kiran, Swathi
    PSYCHONOMIC BULLETIN & REVIEW, 2025,
  • [2] A noisy-channel approach to question answering
    Echihabi, A
    Marcu, D
    41ST ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE, 2003, : 16 - 23
  • [3] A noisy-channel model for document compression
    Daume, H
    Marcu, D
    40TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE, 2002, : 449 - 456
  • [4] Utilizing a Noisy-Channel Approach for Korean LVCSR
    Sakti, Sakriani
    Isotani, Ryosuke
    Kawai, Hisashi
    Nakamura, Satoshi
    11TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2010 (INTERSPEECH 2010), VOLS 1-2, 2010, : 1513 - 1516
  • [5] PACKET TRANSMISSION IN A NOISY-CHANNEL RING NETWORK
    PESTIEN, V
    RAMAKRISHNAN, S
    SARKAR, D
    SIAM JOURNAL ON COMPUTING, 1994, 23 (03) : 553 - 562
  • [6] CONTEXT AND SENTENCE COMPREHENSION
    ANTHONY, C
    ZELINSKI, E
    LIGHT, L
    GERONTOLOGIST, 1986, 26 : A89 - A90
  • [7] A noisy-channel approach to depth-charge illusions
    Zhang, Yuhan
    Ryskin, Rachel
    Gibson, Edward
    COGNITION, 2023, 232
  • [8] 基于Noisy-Channel Model的句子压缩方法
    景秀丽
    郑学伟
    电大理工, 2005, (02) : 39 - 41
  • [9] A Noisy-Channel Account of Crosslinguistic Word-Order Variation
    Gibson, Edward
    Piantadosi, Steven T.
    Brink, Kimberly
    Bergen, Leon
    Lim, Eunice
    Saxe, Rebecca
    PSYCHOLOGICAL SCIENCE, 2013, 24 (07) : 1079 - 1088
  • [10] Multivaluedness in Networks: Shannon's Noisy-Channel Coding Theorem
    van Wyk, Michael Anton
    Ping, Li
    Chen, Guanrong
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2021, 68 (10) : 3234 - 3235