Phrasal cohesion and statistical machine translation

被引：0
|
作者：
Fox, HJ [1 ]
机构：
[1] Brown Univ, Dept Comp Sci, Brown Lab Linguist Informat Proc, Providence, RI 02912 USA
来源：
PROCEEDINGS OF THE 2002 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
There has been much interest in using phrasal movement to improve statistical machine translation. We explore how well phrases cohere across two languages, specifically English and French, and examine the particular conditions under which they do not. We demonstrate that while there are cases where coherence is poor, there are many regularities which can be exploited by a statistical machine translation system. We also compare three variant syntactic representations to determine which one has the best properties with respect to cohesion.
引用
收藏
页码：304 / 311
页数：8
相关论文
共 50 条
  • [31] Decoding algorithm in statistical machine translation
    Wang, YY
    Waibel, A
    35TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 8TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE, 1997, : 366 - 372
  • [32] Statistical machine translation gains respect
    Geer, D
    COMPUTER, 2005, 38 (10) : 18 - 21
  • [33] Migrating Code with Statistical Machine Translation
    Anh Tuan Nguyen
    Tung Thanh Nguyen
    Nguyen, Tien N.
    36TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE COMPANION 2014), 2014, : 544 - 547
  • [34] Spatial Ontology in Statistical Machine Translation
    Skadins, Raivis
    DATABASES AND INFORMATION SYSTEMS, 2010, : 409 - 421
  • [35] Bilingual phrases for statistical machine translation
    Garcia-Varea, I.
    Nevado, F.
    Ortiz, D.
    Tomas, J.
    Casacuberta, F.
    PROCESAMIENTO DEL LENGUAJE NATURAL, 2005, (35): : 93 - 100
  • [36] Bayesian Adaptation for Statistical Machine Translation
    Sanchis-Trilles, German
    Casacuberta, Francisco
    STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, 2010, 6218 : 620 - 629
  • [37] A smorgasbord of features for statistical machine translation
    Och, FJ
    Gildea, D
    Khudanpur, S
    Sarkar, A
    Yamada, K
    Fraser, A
    Kumar, S
    Shen, LB
    Smith, D
    Eng, K
    Jain, V
    Jin, Z
    Radev, D
    HLT-NAACL 2004: HUMAN LANGUAGE TECHNOLOGY CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE MAIN CONFERENCE, 2004, : 161 - 168
  • [38] Online Learning for Statistical Machine Translation
    Ortiz-Martinez, Daniel
    COMPUTATIONAL LINGUISTICS, 2016, 42 (01) : 121 - 161
  • [39] Domain Adaptation for Statistical Machine Translation
    Wang, Xiaoxue
    Zhu, Conghui
    Li, Sheng
    Zhao, Tiejun
    Zheng, Dequan
    2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD), 2016, : 1652 - 1658
  • [40] Distortion Models For Statistical Machine Translation
    Al-Onaizan, Yaser
    Papineni, Kishore
    COLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE, 2006, : 529 - 536
12345