Abstract
This paper reviews state-of-the-art techniques and methods for enhancing effectiveness of cross-language information retrieval (CLIR). The following research issues are covered: (1) matching strategies and translation techniques, (2) methods for solving the problem of translation ambiguity, (3) formal models for CLIR such as application of the language model, (4) the pivot language approach, (5) methods for searching multilingual document collection, (6) techniques for combining multiple language resources, etc.
Original language | English |
---|---|
Pages (from-to) | 433-455 |
Number of pages | 23 |
Journal | Information Processing and Management |
Volume | 41 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2005 May |
Externally published | Yes |
Keywords
- Cross-language information retrieval
- Language model
- Machine translation
- Word sense disambiguation
ASJC Scopus subject areas
- Information Systems
- Media Technology
- Computer Science Applications
- Management Science and Operations Research
- Library and Information Sciences