Cross-Language Information Retrieval: the way ahead |
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| Institution: | 1. School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China;2. School of Computer Science and Technology, Donghua University, Shanghai 201620, China;3. Department of Computer Information Technology and Graphics, Purdue University Northwest, Indiana 46323, USA;1. School of Computer Science, Jiangsu University, China;2. School of Computing & Mathematics, Ulster University, UK;3. Faculty of Informatics, University of Lugano, Switzerland |
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| Abstract: | This introductory paper covers not only the research content of the articles in this special issue of IP&M but attempts to characterize the state-of-the-art in the Cross-Language Information Retrieval (CLIR) domain. We present our view of some major directions for CLIR research in the future. In particular, we find that insufficient attention has been given to the Web as a resource for multilingual research, and to languages which are spoken by hundreds of millions of people in the world but have been mainly neglected by the CLIR research community. In addition, we find that most CLIR evaluation has focussed narrowly on the news genre to the exclusion of other important genres such as scientific and technical literature. The paper concludes by describing an ambitious 5-year research plan proposed by James Mayfield and Paul McNamee. |
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