Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/290941.291041acmconferencesArticle/Chapter ViewAbstractPublication PagesirConference Proceedingsconference-collections
Article
Free access

Automatic acquisition of phrasal knowledge for English-Chinese bilingual information retrieval

Published: 01 August 1998 Publication History

Abstract

No abstract available.

References

[1]
Lisa Ballesteros and W. Bruce Croft, "Phrasal Translation and Query Expansion Techniques for Cross-Language Information Retrieval," ACM SIGIR'97, 84-91.
[2]
Douglas W. Oard, "Cross-language Text Retrieval Research in the USA," April 1997. (hrtp ://www.area.pi.cnr. it/Erc im D L/th ird- DE LOS- workshop/Oard/oard-de los/paper, htm I)
[3]
K.L. Kwok, "Evaluation of an English-Chinese Cross- Lingual Retrieval Experiment". Working Notes on AAAI Spring Symposium on Cross-Language Text and Speech Retrieval, Stanford University, 1997
[4]
Lee-Feng Chien, 'Fast and Quasi-Natural Language Search for Gigabytes of Chinese Texts", ACM SIGIR'95.
[5]
Lee-Feng Chien,Sung-Chien Lin, et al., "lnternet Chinese Information Retrieval Using Unconstrained Mandarin Speech Queries Based on A ClientzServer Architecture and A PAT-tree-based Language Model", Proceedings of the 1997 IEEE International Conference on Acoustics, Speech and Signal Processing, German, pp. 1155-1158 (ICASSP'97).
[6]
Lee-Feng Chien. "PAT-tree-based Keyword Extraction for Chinese Information Retrieval," ACM SIGIR'97, 50-59.

Cited By

View all
  • (2006)Extracting key-substring-group features for text classificationProceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/1150402.1150455(474-483)Online publication date: 20-Aug-2006

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
SIGIR '98: Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
August 1998
394 pages
ISBN:1581130155
DOI:10.1145/290941
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 1998

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Article

Conference

SIGIR98
Sponsor:
  • University of Melbourne
  • SIGIR

Acceptance Rates

Overall Acceptance Rate 792 of 3,983 submissions, 20%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)25
  • Downloads (Last 6 weeks)11
Reflects downloads up to 10 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2006)Extracting key-substring-group features for text classificationProceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining10.1145/1150402.1150455(474-483)Online publication date: 20-Aug-2006

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media