Translation resources, merging strategies, and relevance feedback for cross-language information retrieval

Hiemstra, D.; Kraaij, W.; Pohlmann, R.; Westerveld, T.; Technisch Physische Dienst TNO - TH

Translation resources, merging strategies, and relevance feedback for cross-language information retrieval

Title

Translation resources, merging strategies, and relevance feedback for cross-language information retrieval

Author

Hiemstra, D.
Kraaij, W.
Pohlmann, R.
Westerveld, T.
Technisch Physische Dienst TNO - TH

Contributor

Peters, C. (editor)

Publication year

2001

Abstract

This paper describes the official runs of the Twenty-One group for the first CLEF workshop. The Twenty-One group participated in the monolingual, bilingual and multilingual tasks. The following new techniques are introduced in this paper. In the bilingual task we experimented with different methods to estimate translation probabilities. In the multilingual task we experimented with refinements on raw-score merging techniques and with a new relevance feedback algorithm that re-estimates both the model’s translation probabilities and the relevance weights. Finally, we performed preliminary experiments to exploit the web to generate translation probabilities and bilingual dictionaries, notably for English-Italian and English-Dutch. © Springer-Verlag Berlin Heidelberg 2001.

Subject

Computational linguistics
Feedback
Information retrieval
Linguistics
Merging
Probability
Bilingual dictionary
Bilingual tasks
Cross language information retrieval
Merging strategy
Multi-lingual tasks
Relevance feedback
Relevance weights
Translation resources
Translation (languages)