{"title":"阿英跨语言信息检索:一种机器翻译方法","authors":"Mohammed Aljlayl, O. Frieder, D. Grossman","doi":"10.1109/ITCC.2002.1000351","DOIUrl":null,"url":null,"abstract":"Machine translation (MT) is an automatic process that translates from one human language to another by using context information. We empirically evaluate the use of an MT-based approach for query translation in an Arabic-English cross-language information retrieval (CLIR) system, called ALKAFI, using the TREC-7 and TREC-9 topics and collections. The effect of the query length on the MT performance is also investigated in order to explore how much context is actually required for successful MT processing.","PeriodicalId":115190,"journal":{"name":"Proceedings. International Conference on Information Technology: Coding and Computing","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"On Arabic-English cross-language information retrieval: a machine translation approach\",\"authors\":\"Mohammed Aljlayl, O. Frieder, D. Grossman\",\"doi\":\"10.1109/ITCC.2002.1000351\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Machine translation (MT) is an automatic process that translates from one human language to another by using context information. We empirically evaluate the use of an MT-based approach for query translation in an Arabic-English cross-language information retrieval (CLIR) system, called ALKAFI, using the TREC-7 and TREC-9 topics and collections. The effect of the query length on the MT performance is also investigated in order to explore how much context is actually required for successful MT processing.\",\"PeriodicalId\":115190,\"journal\":{\"name\":\"Proceedings. International Conference on Information Technology: Coding and Computing\",\"volume\":\"114 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. International Conference on Information Technology: Coding and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITCC.2002.1000351\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Conference on Information Technology: Coding and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITCC.2002.1000351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On Arabic-English cross-language information retrieval: a machine translation approach
Machine translation (MT) is an automatic process that translates from one human language to another by using context information. We empirically evaluate the use of an MT-based approach for query translation in an Arabic-English cross-language information retrieval (CLIR) system, called ALKAFI, using the TREC-7 and TREC-9 topics and collections. The effect of the query length on the MT performance is also investigated in order to explore how much context is actually required for successful MT processing.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
