By Carol Peters (auth.), Carol Peters, Martin Braschler, Julio Gonzalo (eds.)
This publication offers the completely refereed post-proceedings of a workshop by means of the Cross-Language review discussion board crusade, CLEF 2002, held in Rome, Italy in September 2002.
The forty three revised complete papers awarded including an creation and run facts in an appendix have been conscientiously reviewed and revised upon presentation on the workshop. The papers are equipped in topical sections on platforms evaluate experiments, go language and extra, monolingual experiments, more often than not domain-specific info retrieval, interactive concerns, cross-language spoken record retrieval, and cross-language overview matters and initiatives.
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Additional resources for Advances in Cross-Language Information Retrieval: Third Workshop of the Cross-Language Evaluation Forum, CLEF 2002 Rome, Italy, September 19–20, 2002 Revised Papers
This volume. : IR STAT PAK. html. : Océ at CLEF 2002. This volume. : CLEF 2000 – Overview of Results. In: Cross-Language Information Retrieval and Evaluation. Workshop of the Cross-Language Evaluation Forum, CLEF 2000, Revised Papers. Pages 89-101, 2001. : CLEF 2001 – Overview of Results. In: Evaluation of CrossLanguage Information Retrieval Systems. Second Workshop of the CrossLanguage Evaluation Forum, CLEF 2001, Revised Papers. Pages 9-26, 2002. : Eurospider at CLEF 2002. This volume. : Cross-Language Information Retrieval (CLIR) Track Overview.
We conclude that people adopt each other's ideas and methods across campaigns, and that those returning groups that have the experience to build complex combination systems have performed well in the main, multilingual track. This demonstrates clearly the learning curve that these participants have experienced. For the bilingual and monolingual track we observe that good performance in a wide variety of target languages requires careful fine-tuning for all these languages. The main challenge is to do this in a manner that respects the characteristics of each language without over-tuning to artifacts of the CLEF document collection.
36%. The L&H Translator performed better than Babelﬁsh for bilingual retrieval from English to French, German, Italian, and Spanish. Combining the translations from the L&H Translator and Babelﬁsh performed slightly better than using only the translations from the L&H translator. We noticed a number of errors in translating English to German using Babelﬁsh. N. -Russian were not translated. While the phrase Southern Yemen in the desc ﬁeld was incorrectly translated into S¨ udyemen, the same phrase in the Cross-Language Retrieval Experiments at CLEF 2002 43 Table 9.
Advances in Cross-Language Information Retrieval: Third Workshop of the Cross-Language Evaluation Forum, CLEF 2002 Rome, Italy, September 19–20, 2002 Revised Papers by Carol Peters (auth.), Carol Peters, Martin Braschler, Julio Gonzalo (eds.)