Translation-based indexing for cross-language retrieval

被引：0
作者：
Oard, DW [1 ]
Ertunc, F
机构：
[1] Univ Maryland, Coll Informat Studies, College Pk, MD 20742 USA
[2] Univ Maryland, Inst Adv Comp Studies, College Pk, MD 20742 USA
[3] Univ Maryland, Dept Comp Sci, College Pk, MD 20742 USA
来源：
ADVANCES IN INFORMATION REFTRIEVAL | 2002年 / 2291卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Structured queries have proven to be an effective technique for cross-language information retrieval when evidence about translation probability is not available. Query execution time is adversely impacted, however, because the full postings list for each translation is used in the computation. This paper describes an alternative approach, translation-based indexing, that improves query-time efficiency by integrating the translation and indexing processes. Experiment results demonstrate that similar effectiveness can be achieved at a cost in indexing time that is roughly linear in the average number of known translations for each term.
引用
收藏
页码：324 / 333
页数：10
相关论文
共 50 条
  • [41] Study of Query Translation Dictionary Automatic Construction in Cross-Language Information Retrieval
    Xi, Su-Mei
    Cho, Young-Im
    INTELLIGENT AUTONOMOUS SYSTEMS 12 , VOL 2, 2013, 194 : 585 - +
  • [42] On Arabic-English cross-language information retrieval:: A machine translation approach
    Aljlayl, M
    Frieder, O
    Grossman, D
    INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: CODING AND COMPUTING, PROCEEDINGS, 2002, : 2 - 7
  • [43] Resolving ambiguity for cross-language retrieval
    Univ of Massachusetts, Amherst, MA, United States
    SIGIR Forum, (64-71):
  • [44] Towards a new possibilistic query translation tool for cross-language information retrieval
    Elayeb, Bilel
    Ben Romdhane, Wiem
    Ben Saoud, Narjes Bellamine
    MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (02) : 2423 - 2465
  • [45] The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval
    Lignos, Constantine
    Cohen, Daniel
    Lien, Yen-Chieh
    Mehta, Pratik
    Croft, W. Bruce
    Miller, Scott
    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, : 3497 - 3502
  • [46] Translate-Distill: Learning Cross-Language Dense Retrieval by Translation and Distillation
    Yang, Eugene
    Lawrie, Dawn
    Mayfield, James
    Oard, Douglas W.
    Miller, Scott
    ADVANCES IN INFORMATION RETRIEVAL, ECIR 2024, PT II, 2024, 14609 : 50 - 65
  • [47] Experiments in cross-language medical information retrieval using a mixing translation module
    Tran, TD
    Garcelon, N
    Burgun, A
    Le Beux, P
    MEDINFO 2004: PROCEEDINGS OF THE 11TH WORLD CONGRESS ON MEDICAL INFORMATICS, PT 1 AND 2, 2004, 107 : 946 - 949
  • [48] Exploiting Representations from Statistical Machine Translation for Cross-Language Information Retrieval
    Ture, Ferhan
    Lin, Jimmy
    ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2014, 32 (04) : 1 - 32
  • [49] Query translation for cross-language information retrieval by parsing constraint synchronous grammar
    Oliveira, Francisco
    Wong, Fai
    Leong, Ka-Seng
    Tong, Chio-Kin
    Dong, Ming-Chui
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 4003 - 4008
  • [50] Prediction of performance of cross-language information retrieval using automatic evaluation of translation
    Kishida, Kazuaki
    LIBRARY & INFORMATION SCIENCE RESEARCH, 2008, 30 (02) : 138 - 144
12345