{"title":"多语言网页检索的不同索引策略:与EuroGOV语料库的实验","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":"{\"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}","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}
Different indexing strategies for multilingual web retrieval: experiments with the EuroGOV corpus
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.
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