CLEF 2000 - Overview of Results
CLEF '00 Revised Papers from the Workshop of Cross-Language Evaluation Forum on Cross-Language Information Retrieval and Evaluation
Improving the extraction of bilingual terminology from Wikipedia
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
What types of translations hide in Wikipedia?
LKR'08 Proceedings of the 3rd international conference on Large-scale knowledge resources: construction and application
WikiTranslate: query translation for cross-lingual information retrieval using only Wikipedia
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Combining query translation techniques to improve cross-language information retrieval
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
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We propose a cross-language retrieval model that is solely based on Wikipedia as a training corpus. The main contributions of our work are: 1. A translation model based on linked text in Wikipedia and a term weighting method associated with it. 2. A combination scheme to interpolate the link translation model with retrieval based on Latent Dirichlet Allocation. On the CLEF 2000 data we achieve improvement with respect to the best German-English system at the bilingual track (non-significant) and improvement against a baseline based on machine translation (significant).