Advances in Cross-Language Information Retrieval: Third by Carol Peters (auth.), Carol Peters, Martin Braschler, Julio
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 advent and run facts in an appendix have been conscientiously reviewed and revised upon presentation on the workshop. The papers are geared up in topical sections on structures overview experiments, pass language and extra, monolingual experiments, quite often domain-specific details retrieval, interactive matters, cross-language spoken record retrieval, and cross-language overview matters and initiatives.
Read or Download Advances in Cross-Language Information Retrieval: Third Workshop of the Cross-Language Evaluation Forum, CLEF 2002 Rome, Italy, September 19–20, 2002 Revised Papers PDF
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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
Example text
88% with decompounding compared with without it. Further improvements in performance obtained with German decompounding are reported in [1] when a slightly different method was used to compute the relative frequencies of component words. The improved decompounding procedure was used to split German compounds for our CLEF 2002 retrieval experiments. A Dutch stoplist of 1326 words [15] was used for Dutch monolingual retrieval. After removing stopwords, the Dutch words were stemmed using the muscat Dutch stemmer.
Topic 55 contains two important compound words, Alpenverkeersplan and Alpeninitiatief. Neither occur in the Dutch document collection. 2137 after decompounding. 2 Bilingual Retrieval Experiments A major factor affecting the end performance of both bilingual retrieval and multilingual retrieval is the quality of translation resources. In this section, we evaluate the effectiveness of three different translation resources: automatic machine translation systems, parallel corpora, and bilingual dictionaries.
These studies generally conclude that as long as sufficient consistency is maintained during judging, the ranking and comparison of systems is stable even if the absolute performance values calculated on the basis of the assessments change. The quality and consistency of the assessments in CLEF is ensured by following a well-proven methodology based on TREC experience. More details of relevance assessment processes can be found in [21]. The problem of coverage arises from practical considerations in the production of the relevance assessments.