LINGUIST List 21.3444

Sat Aug 28 2010

Books: Computational Linguistics: Nie, Hirst (Ed)

Editor for this issue: Maria Moreno-Rollins <>

        1.    Andrea Descoteaux Hugg, Cross-Language Information Retrieval: Nie, Hirst (Ed)

Message 1: Cross-Language Information Retrieval: Nie, Hirst (Ed)
Date: 20-Aug-2010
From: Andrea Descoteaux Hugg <>
Subject: Cross-Language Information Retrieval: Nie, Hirst (Ed)
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Title: Cross-Language Information Retrieval Series Title: Synthesis Lectures on Human Language Technologies Published: 2010 Publisher: Morgan & Claypool Publishers

Book URL:

Author: Jian-Yun Nie Editor: Graeme Hirst Electronic: ISBN: 9781598298642 Pages: 142 Price: U.S. $ 30.00
Paperback: ISBN: 1598298631 9781598298635 Pages: 142 Price: U.S. $ 40.00


Search for information is no longer exclusively limited within the nativelanguage 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 aquery. In addition to the problems of monolingual information retrieval (IR),translation is the key problem in CLIR: one should translate either the queryor the documents from a language to another. However, this translationproblem is not identical to full-text machine translation (MT): the goal is notto produce a human-readable translation, but a translation suitable for findingrelevant documents. Specific translation methods are thus required.

The goal of this book is to provide a comprehensive description of thespecific problems arising in CLIR, the solutions proposed in this area, aswell as the remaining problems. The book starts with a general description ofthe monolingual IR and CLIR problems. Different classes of approaches totranslation 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 iscompared. It will be shown that translation approaches specifically designedfor CLIR can rival and outperform high-quality MT systems. Finally, the bookoffers a look into the future that draws a strong parallel between queryexpansion in monolingual IR and query translation in CLIR, suggesting thatmany approaches developed in monolingual IR can be adapted to CLIR.

The book can be used as an introduction to CLIR. Advanced readers canalso find more technical details and discussions about the remainingresearch challenges in the future. It is suitable to new researchers whointend to carry out research on CLIR.

Table of Contents:PrefaceIntroductionUsing Manually Constructed Translation Systems and Resources for CLIRTranslation Based on Parallel and Comparable CorporaOther Methods to Improve CLIRA Look into the Future: Toward a Unified View of Monolingual IR and CLIR?ReferencesAuthor Biography

Linguistic Field(s): Computational Linguistics
Written In: English (eng )

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Cambridge Scholars Publishing

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