SINAI experience at CLEF

IF 3.4 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
F. Mart, L. Ure, M. Teresa
{"title":"SINAI experience at CLEF","authors":"F. Mart, L. Ure, M. Teresa","doi":"10.4114/IA.V8I22.809","DOIUrl":null,"url":null,"abstract":"This paper reports our work on CLEF and CrossLanguage Information Retrieval using CLEF resources. We aim to construct a highly languageindependent CLIR model. To accomplish this objective, several problems must be overcome: text translation or pseudo-translation and merging the obtained results for each language for a given query. Three issues of text-translation are investigated: the impact of translation probabilities, automatic multi-word recognition, and the generation of similarity thesauri from a Web corpus. Because the proposed model is query-translation driven, it is necessary to merge several monolingual results in a unique multilingual list of documents. To accomplish this task, we propose a new approach, which we call 2-step RSV, and we show that it performs better than more traditional approaches.","PeriodicalId":43470,"journal":{"name":"Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2004-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4114/IA.V8I22.809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 1

Abstract

This paper reports our work on CLEF and CrossLanguage Information Retrieval using CLEF resources. We aim to construct a highly languageindependent CLIR model. To accomplish this objective, several problems must be overcome: text translation or pseudo-translation and merging the obtained results for each language for a given query. Three issues of text-translation are investigated: the impact of translation probabilities, automatic multi-word recognition, and the generation of similarity thesauri from a Web corpus. Because the proposed model is query-translation driven, it is necessary to merge several monolingual results in a unique multilingual list of documents. To accomplish this task, we propose a new approach, which we call 2-step RSV, and we show that it performs better than more traditional approaches.
在CLEF的西奈经验
本文介绍了我们在CLEF和利用CLEF资源进行跨语言信息检索方面的工作。我们的目标是构建一个高度语言无关的CLIR模型。要实现这一目标,必须克服几个问题:文本翻译或伪翻译,以及为给定查询合并每种语言获得的结果。本文研究了文本翻译中的三个问题:翻译概率的影响、多词自动识别和基于Web语料库的相似词表的生成。由于所建议的模型是查询翻译驱动的,因此有必要将几个单语言结果合并到一个唯一的多语言文档列表中。为了完成这项任务,我们提出了一种新的方法,我们称之为2步RSV,并且我们证明它比传统的方法表现得更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.00
自引率
0.00%
发文量
15
审稿时长
8 weeks
期刊介绍: Inteligencia Artificial is a quarterly journal promoted and sponsored by the Spanish Association for Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. Particularly, the Journal welcomes: New approaches, techniques or methods to solve AI problems, which should include demonstrations of effectiveness oor improvement over existing methods. These demonstrations must be reproducible. Integration of different technologies or approaches to solve wide problems or belonging different areas. AI applications, which should describe in detail the problem or the scenario and the proposed solution, emphasizing its novelty and present a evaluation of the AI techniques that are applied. In addition to rapid publication and dissemination of unsolicited contributions, the journal is also committed to producing monographs, surveys or special issues on topics, methods or techniques of special relevance to the AI community. Inteligencia Artificial welcomes submissions written in English, Spaninsh or Portuguese. But at least, a title, summary and keywords in english should be included in each contribution.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信