Information structure and contrastive topic

被引：0
|
作者：
Hajicová, E [1 ]
Sgall, P [1 ]
Veselá, KI [1 ]
机构：
[1] Charles Univ, CR-11636 Prague 1, Czech Republic
来源：
ANNUAL WORKSHOP ON FORMAL APPROACHES TO SLAVIC LINGUISTICS: THE AMHERST MEETING 2002 | 2003年 / 48卷
关键词：
D O I：
暂无
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
引用
收藏
页码：219 / 234
页数：16
相关论文
共 50 条
  • [41] Contrastive Learning for Topic-Dependent Image Ranking
    Ko, Jihyeong
    Jeong, Jisu
    Kim, Kyumgmin
    RECOMMENDER SYSTEMS IN FASHION AND RETAIL, 2023, 981 : 79 - 98
  • [42] Strategies of Topic Termination: A Contrastive Study of English and Persian
    Eidizadeh, Rosa
    Ghorbanchian, Elahe
    Eslamirasekh, Abbas
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CURRENT TRENDS IN ELT, 2014, 98 : 425 - 434
  • [43] Correlation between sentence topic and discourse topic in French and Chinese: annotation issues and contrastive analysis
    Hou, Jiaqi
    Landragin, Frederic
    STUDIA LINGUISTICA, 2023, 77 (03) : 515 - 560
  • [44] Knowledge structure transition in library and information science: topic modeling and visualization
    Miyata, Yosuke
    Ishita, Emi
    Yang, Fang
    Yamamoto, Michimasa
    Iwase, Azusa
    Kurata, Keiko
    SCIENTOMETRICS, 2020, 125 (01) : 665 - 687
  • [45] TOPIC, COMMENT OR MODIFIER, MODIFIED - INFORMATION STRUCTURE IN MODERN STANDARD CHINESE
    KIRKPATRICK, A
    STUDIES IN LANGUAGE, 1996, 20 (01): : 93 - 113
  • [46] A deceptive detection model based on topic, sentiment, and sentence structure information
    Xiaodong Du
    Ruiqi Zhu
    Fuqiang Zhao
    Fangzhou Zhao
    Ping Han
    Zhengyu Zhu
    Applied Intelligence, 2020, 50 : 3868 - 3881
  • [47] Prosody and information structure in Japanese:: A case study of topic marker wa
    Nakanishi, K
    JAPANESE/KOREAN LINGUISTICS, VOL 10, 2002, : 434 - 447
  • [48] Information structure without topic and focus Differential Object Marking in Burmese
    Ozerov, Pavel
    STUDIES IN LANGUAGE, 2015, 39 (02): : 386 - 423
  • [49] A deceptive detection model based on topic, sentiment, and sentence structure information
    Du, Xiaodong
    Zhu, Ruiqi
    Zhao, Fuqiang
    Zhao, Fangzhou
    Han, Ping
    Zhu, Zhengyu
    APPLIED INTELLIGENCE, 2020, 50 (11) : 3868 - 3881
  • [50] Knowledge structure transition in library and information science: topic modeling and visualization
    Yosuke Miyata
    Emi Ishita
    Fang Yang
    Michimasa Yamamoto
    Azusa Iwase
    Keiko Kurata
    Scientometrics, 2020, 125 : 665 - 687
12345