Age of acquisition and imageability: a cross-task comparison

被引:2
|
作者
Ploetz, Danielle M. [1 ]
Yates, Mark [1 ]
机构
[1] Univ S Alabama, Mobile, AL 36688 USA
关键词
SPELLING-SOUND CONSISTENCY; 3,000 MONOSYLLABIC WORDS; LEXICAL-DECISION; OF-ACQUISITION; SERIAL-RECALL; RECOGNITION; NEIGHBORHOOD; MODEL; IDENTIFICATION; CONCRETENESS;
D O I
10.1111/1467-9817.12040
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Previous research has reported an imageability effect on visual word recognition. Words that are high in imageability are recognised more rapidly than are those lower in imageability. However, later researchers argued that imageability was confounded with age of acquisition. In the current research, these two factors were manipulated in a factorial design to assess their effect in a lexical decision task and a progressive demasking task. Across both tasks, there was a clear and robust effect of age of acquisition. In contrast, the imageability effect was only evident in the progressive demasking task. Both effects are explained within the connectionist framework in terms of network plasticity and semantic feedback activation.
引用
收藏
页码:37 / 49
页数:13
相关论文
共 50 条
  • [41] Spatial context, inter-task priority and cross-task interference.
    Lobovsky, S
    Hochstein, S
    NEUROSCIENCE LETTERS, 1999, : S27 - S28
  • [42] MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning
    Xu, Xiaogang
    Zhao, Hengshuang
    Vineet, Vibhav
    Lim, Ser-Nam
    Torralba, Antonio
    COMPUTER VISION - ECCV 2022, PT XXVII, 2022, 13687 : 304 - 321
  • [43] Cross-task specificity and within-task invariance of cognitive control processes
    Xiao, Yuchen
    Chou, Chien -Chen
    Cosgrove, Garth Rees
    Crone, Nathan E.
    Stone, Scellig
    Madsen, Joseph R.
    Reucroft, Ian
    Shih, Yen-Cheng
    Weisholtz, Daniel
    Yu, Hsiang-Yu
    Anderson, William S.
    Kreiman, Gabriel
    CELL REPORTS, 2023, 42 (01):
  • [44] CALTracker: Cross-Task Association Learning for Multiple Object Tracking
    Liu, Jialin
    Kong, Jun
    Jiang, Min
    Liu, Tianshan
    IEEE SIGNAL PROCESSING LETTERS, 2023, 30 : 1622 - 1626
  • [45] Cross-Task Generalization via Natural Language Crowdsourcing Instructions
    Mishra, Swaroop
    Khashabi, Daniel
    Baral, Chitta
    Hajishirzi, Hannaneh
    PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS), 2022, : 3470 - 3487
  • [46] Transferability-Guided Cross-Domain Cross-Task Transfer Learning
    Tan, Yang
    Zhang, Enming
    Li, Yang
    Huang, Shao-Lun
    Zhang, Xiao-Ping
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, : 1 - 14
  • [47] LSTM based Cross-corpus and Cross-task Acoustic Emotion Recognition
    Kaya, Heysem
    Fedotov, Dmitrii
    Yesilkanat, Ali
    Verkholyak, Oxana
    Zhang, Yang
    Karpov, Alexey
    19TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2018), VOLS 1-6: SPEECH RESEARCH FOR EMERGING MARKETS IN MULTILINGUAL SOCIETIES, 2018, : 521 - 525
  • [48] Cross-task cognitive workload estimation using eye tracking
    Lin Yang
    Lei Wang
    Wenchang Xu
    Biao Wang
    Hanbin Ren
    Aijuan Yang
    Signal, Image and Video Processing, 2025, 19 (5)
  • [49] Cross-task portability of a broadcast news speech recognition system
    Bertoldi, N
    Brugnara, F
    Cettolo, M
    Federico, M
    Giuliani, D
    SPEECH COMMUNICATION, 2002, 38 (3-4) : 335 - 347
  • [50] Dealing with Cross-Task Class Discrimination in Online Continual Learning
    Guo, Yiduo
    Liu, Bing
    Zhao, Dongyan
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 11878 - 11887