2001 · 31 citations · 1 references
ComputingArabicComputer ScienceCorpus-based Translation StudiesInformation RetrievalTranslation TheoryCross-language Information RetrievalMachine TranslationMultilingual Natural Language ProcessingRetrieval ModelsCross-language Document RetrievalCross-language RetrievalCross-language Term WeightingCross-lingual RetrievalLogistic RegressionMachine Translation For Information RetrievalMultilingual RetrievalTerm Weighting
In TREC-10 the Berkeley group participated only in the English-Arabic cross-language retrieval (CLIR) track. One Arabic monolingual run and four English-Arabic cross-language runs were submitted. Our approach to the cross-language retrieval was to translate the English topics into Arabic using online EnglishArabic bilingual dictionaries and machine translation software. The five official runs are named as BKYAAA1, BKYEAA1, BKYEAA2, BKYEAA3, and BKYEAA4. The BKYAAA1 is the Arabic monolingual run, and the rest are English-to-Arabic cross-language runs. The same logistic regression based document ranking algorithm without pseudo relevance feedback was applied in all five runs. We refer the readers to the paper in [1] for details.
1
A freely available wide coverage morphological analyzer for English
Daniel Karp, Yves Schabes, Martin Zaidel et al. · 1992 · 94 citations