Translation Models in Cross-Language Information Retrieval

Title: Translation Models in Cross-Language Information Retrieval

Research Question: Can Web-based statistical translation models be embedded into cross-language information retrieval systems to improve their effectiveness?

Methodology: The researchers investigated the possibility of automatically mining parallel texts from the Web and integrating Web-based translation models into various aspects of the retrieval process. They conducted experiments on standard test collections for cross-language information retrieval to compare the performance of their proposed models with existing commercial machine translation systems.

Results: The experiments demonstrated that the Web-based translation models could outperform commercial machine translation systems in cross-language information retrieval tasks. This suggests that a fully automatic query translation device for cross-language information retrieval could be constructed at a low cost.

Implications: These findings open up a new perspective for constructing automatic query translation devices for cross-language information retrieval systems, which can significantly improve the effectiveness of retrieving relevant documents in multiple languages. This could have a substantial impact on the way people access and utilize information from the Web, particularly for those who are non-native speakers or are interested in multiple languages.

Link to Article: https://arxiv.org/abs/0312008v1 Authors: arXiv ID: 0312008v1