A probabilistic parser as a model of global processing difficulty

被引：0
|
作者：
Keller, F [1 ]
机构：
[1] Univ Edinburgh, Sch Informat, Edinburgh EH8 9LW, Midlothian, Scotland
来源：
PROCEEDINGS OF THE TWENTY-FIFTH ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY, PTS 1 AND 2 | 2003年
关键词：
D O I：
暂无
中图分类号：
B84 [心理学];
学科分类号：
04 ; 0402 ;
摘要：
We present a model of global processing difficulty in human parsing. This model is based on a probabilistic context-free grammar and is trained on a realistic corpus sample. It achieves broad coverage and good parsing accuracy on unseen text, and its predictions are significantly correlated with experimental data on word order preferences in German. The model makes predictions about the differential behavior of verb final and verb initial sentences and provides evidence for the importance of lexical information in sentence processing.
引用
收藏
页码：646 / 651
页数：6
相关论文
共 50 条
  • [21] Integrating Syntactic Priming into an Incremental Probabilistic Parser, with an Application to Psycholinguistic Modeling
    Dubey, Amit
    Keller, Frank
    Sturt, Patrick
    COLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE, 2006, : 417 - 424
  • [22] Probabilistic Object Reconstruction with Online Global Model Correction
    Hunt, Jack
    Cavallari, Tommaso
    Prisacariu, Victor A.
    Lord, Nicholas A.
    Golodetz, Stuart
    Torr, Philip H. S.
    PROCEEDINGS 2017 INTERNATIONAL CONFERENCE ON 3D VISION (3DV), 2017, : 291 - 300
  • [23] Incremental processing and design of a parser for Japanese: A dynamic approach
    Kobayashi, Masahiro
    NEW FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2008, 4914 : 174 - 186
  • [24] Modeling Attachment Decisions with a Probabilistic Parser: The Case of Head Final Structures
    Baldewein, Ulrike
    Keller, Frank
    PROCEEDINGS OF THE TWENTY-SIXTH ANNUAL CONFERENCE OF THE COGNITIVE SCIENCE SOCIETY, 2004, : 73 - 78
  • [25] SENTENCE PROCESSING AND THE NATURE OF THE HUMAN SYNTACTIC PARSER - INTRODUCTION
    BAYER, J
    FOLIA LINGUISTICA, 1994, 28 (1-2) : 1 - 3
  • [26] Evaluation of forecasts by a global data-driven weather model with and without probabilistic post-processing at Norwegian stations
    Bremnes, John Bjornar
    Nipen, Thomas N.
    Seierstad, Ivar A.
    NONLINEAR PROCESSES IN GEOPHYSICS, 2024, 31 (02) : 247 - 257
  • [27] PaLM: A Hybrid Parser and Language Model
    Peng, Hao
    Schwartz, Roy
    Smith, Noah A.
    2019 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING AND THE 9TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (EMNLP-IJCNLP 2019): PROCEEDINGS OF THE CONFERENCE, 2019, : 3644 - 3651
  • [28] The global burden of visual difficulty
    Djafari, Fawzia
    Haddad, Slim
    Aubin, Marie-Josee
    Roy-Gagnon, Marie-Helene
    Vela, Claudia
    Freeman, Ellen
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2013, 54 (15)
  • [29] GloBiMaps - A Probabilistic Data Structure for In-Memory Processing of Global Raster Datasets
    Werner, Martin
    27TH ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS (ACM SIGSPATIAL GIS 2019), 2019, : 3 - 12
  • [30] Probabilistic based recursive model for adaptive processing of data structures
    Cho, Siu-Yeung
    EXPERT SYSTEMS WITH APPLICATIONS, 2008, 34 (02) : 1403 - 1422
12345