Cross-language information retrieval based on parallel texts and automatic mining of parallel texts from the web (1999)
Cached
Download Links
- [www.hlt.utdallas.edu]
- [www.iro.umontreal.ca]
- [www.iro.umontreal.ca]
- CiteULike
- DBLP
Other Repositories/Bibliography
| Venue: | In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval |
| Citations: | 90 - 8 self |
BibTeX
@INPROCEEDINGS{Nie99cross-languageinformation,
author = {Jian-yun Nie and Michel Simard and Pierre Isabelle and Richard Dur and Université De Montréal},
title = {Cross-language information retrieval based on parallel texts and automatic mining of parallel texts from the web},
booktitle = {In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval},
year = {1999},
pages = {74--81}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
This paper describes the use of a probabilistic translation model to cross-language IR (CLIR). The performance of this approach is compared with that using machine translation (MT). It is shown that using a probabilistic model, we are able to obtain performances close to those using an MT system. In addition, we also investigated the possibility of automatically gather parallel texts from the Web in an attempt to construct a reasonable training corpus. The result is very encouraging. We showed that in several tests, such a training corpus is as good as a manually constructed one for CLIR purposes.
