Multilingual Information Retrieval

Multilingual Information Retrieval

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We are living in a multilingual world and the diversity in languages which are used to interact with information access systems has generated a wide variety of challenges to be addressed by computer and information scientists. The growing amount of non-English information accessible globally and the increased worldwide exposure of enterprises also necessitates the adaptation of Information Retrieval (IR) methods to new, multilingual settings. Peters, Braschler and Clough present a comprehensive description of the technologies involved in designing and developing systems for Multilingual Information Retrieval (MLIR). They provide readers with broad coverage of the various issues involved in creating systems to make accessible digitally stored materials regardless of the language(s) they are written in. Details on Cross-Language Information Retrieval (CLIR) are also covered that help readers to understand how to develop retrieval systems that cross language boundaries. Their work is divided into six chapters and accompanies the reader step-by-step through the various stages involved in building, using and evaluating MLIR systems. The book concludes with some examples of recent applications that utilise MLIR technologies. Some of the techniques described have recently started to appear in commercial search systems, while others have the potential to be part of future incarnations. The book is intended for graduate students, scholars, and practitioners with a basic understanding of classical text retrieval methods. It offers guidelines and information on all aspects that need to be taken into consideration when building MLIR systems, while avoiding too many a€˜hands-on detailsa€™ that could rapidly become obsolete. Thus it bridges the gap between the material covered by most of the classical IR textbooks and the novel requirements related to the acquisition and dissemination of information in whatever language it is stored.In addition, depending on the usera#39;s needs, the system may also translate the answers into the usera#39;s source language. ... to retrieve small snippets of text that contained an answer for open-domain, closedclass questions (i.e., fact-based, short-answer questions that ... The main objective was to encourage the development of open domain QA systems with particular focus on research into user ... 14 php 15Chau et al.

Title:Multilingual Information Retrieval
Author:Carol Peters, Martin Braschler, Paul Clough
Publisher:Springer Science & Business Media - 2012-01-05


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