Cross-language information retrieval
By: Jian-Yun Nie
Series: Synthesis lectures in human language technologies -- # 8
Publisher: Morgan & Claypool; Morgan and Claypool Publishers
Published: 2010
Place of publication: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)
Language: eng
Format: [electronic resource] /
ISBN-13: 9781598298642; 9781598298635
Subjects: Cross-language information retrieval
Other titles: Synthesis digital library of engineering and computer science.
Description: 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.
Notes: Part of: Synthesis digital library of engineering and computer science.

Title from PDF t.p. (viewed on June 4, 2010).

Series from website.

Includes bibliographical references (p. 113-124).

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

Also available in print.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.
Table of contents: title: 1. Introduction; title: General IR Problems; title: General IR Approaches; title: IR Models; title: Boolean Models; title: Vector Space Model; title: Probabilistic Models; title: Statistical Language Models; title: Query Expansion; title: System Evaluation; title: Language Problems in IR; title: European Languages; title: Word Stemming; title: Decompounding; title: East Asian Languages; title: Chinese and Word Segmentation; title: Japanese and Korean; title: Other Languages; title: The Problems of Cross-Language Information Retrieval; title: Query Translation vs. Document Translation; title: Using Pivot Language and Interlingua; title: Approaches to Translation in CLIR; title: The Need for Cross-Language and Multilingual IR; title: The History of CLIR; title: 2. Using Manually Constructed Translation Systems and Resources for CLIR; title: Machine Translation; title: Rule-Based MT; title: Statistical MT; title: Basic utilization of MT in CLIR; title: Rule-Based MT; title: Statistical MT; title: Unknown Word; title: Open the Box of MT; title: Dictionary-Based Translation for CLIR; title: Basic Approaches; title: The Term Weighting Problem; title: Coverage of the Dictionary; title: Translation Ambiguity; title: Selection of Translation Words; title: Other Related Approaches; title: 3. Translation Based on Parallel and Comparable Corpora; title: Parallel Corpora; title: Paragraph/Sentence Alignment; title: Utilization of Translation Models in CLIR; title: Embedding Translation Models into CLIR Models; title: Alternative Approaches using Parallel Corpora; title: Exploiting a Parallel Corpus by Pseudo-Relevance Feedback; title: Using Latent Semantic Indexing (LSI); title: Using Comparable Corpora; title: Discussions on CLIR Methods and Resources; title: Mining for Translation Resources and Relations; title: Mining for Parallel Texts; title: Transliteration; title: Mining Translations using Hyperlinks; title: Mining Translations from Monolingual Web Pages; title: 4. Other Methods to Improve CLIR; title: Pre- and Post-Translation Expansion; title: Fuzzy Matching; title: Combining Translations; title: Transitive Translation; title: Integrating Monolingual and Translingual Relations; title: Discussions; title: 5. A Look into the Future: Toward a Unified View of Monolingual IR and CLIR; title: What has been Achieved; title: Inspiring from Monolingual IR; title: Parallel Between Query Expansion and Query Translation; title: Inspiring Query Translation from Query Expansion; title: An Example; title: References; title: Author Biography.