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Book Cover
Author Nie, Jian-Yun.

Title Cross-language information retrieval / Jian-Yun Nie
Published [San Rafael, Calif.] : Morgan & Claypool Publishers, [2010]
Online access available from:
Synthesis Digital Library    View Resource Record  


Description 1 online resource (xv, 125 pages) : illustrations (some color)
Series Synthesis lectures in human language technologies, 1947-4040 ; #8
Synthesis lectures on human language technologies ; lecture #8
Contents Introduction -- Using manually constructed translation systems and resources for CLIR -- Translation based on parallel and comparable corpora -- Other methods to improve CLIR -- A look into the future: toward a unified view of monolingual IR and CLIR?
Summary Search for information is no longer exclusively limited within the native language of the user, but is more and more extended to other languages. This gives rise to the problem of cross-language information retrieval (CLIR), whose goal is to find relevant information written in a different language to a query. In addition to the problems of monolingual information retrieval (IR), translation is the key problem in CLIR: one should translate either the query or the documents from a language to another. However, this translation problem is not identical to full-text machine translation (MT): the goal is not to produce a human-readable translation, but a translation suitable for finding relevant documents. Specific translation methods are thus required. The goal of this book is to provide a comprehensive description of the specific problems arising in CLIR, the solutions proposed in this area, as well as the remaining problems. The book starts with a general description of the monolingual IR and CLIR problems. Different classes of approaches to translation are then presented: approaches using an MT system, dictionary-based translation and approaches based on parallel and comparable corpora. In addition, the typical retrieval effectiveness using different approaches is compared. It will be shown that translation approaches specifically designed for CLIR can rival and outperform high-quality MT systems. Finally, the book offers a look into the future that draws a strong parallel between query expansion in monolingual IR and query translation in CLIR, suggesting that many approaches developed in monolingual IR can be adapted to CLIR. The book can be used as an introduction to CLIR. Advanced readers can also find more technical details and discussions about the remaining research challenges in the future. It is suitable to new researchers who intend to carry out research on CLIR
Bibliography Includes bibliographical references (pages 113-124)
Notes Print version record
Subject Cross-language information retrieval.
Machine translating.
Form Electronic book
ISBN 159829864X (electronic bk.)
9781598298642 (electronic bk.)