{"title":"Different indexing strategies for multilingual web retrieval: experiments with the EuroGOV corpus","authors":"Niels Jensen, Thomas Mandl","doi":"10.1145/1149941.1149974","DOIUrl":null,"url":null,"abstract":"Experiments with a multi-lingual web collection are presented. The EuroGOV corpus is the first multi-lingual web corpus for retrieval evaluation. We show how indexes based on words and n-rams are developed for different document parts. Different indexes werde based on the full document content, partial content and the title. The best results were achieved for a title only index based on words.","PeriodicalId":134809,"journal":{"name":"UK Conference on Hypertext","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"UK Conference on Hypertext","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1149941.1149974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Experiments with a multi-lingual web collection are presented. The EuroGOV corpus is the first multi-lingual web corpus for retrieval evaluation. We show how indexes based on words and n-rams are developed for different document parts. Different indexes werde based on the full document content, partial content and the title. The best results were achieved for a title only index based on words.