Literature on Information Retrieval and Machine Translation

Literature on Information Retrieval and Machine Translation PDF Author: Charles F. Balz
Publisher:
ISBN:
Category : Automatic indexing
Languages : en
Pages : 140

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Literature on Information Retrieval and Machine Translation

Literature on Information Retrieval and Machine Translation PDF Author: Charles F. Balz
Publisher:
ISBN:
Category : Automatic indexing
Languages : en
Pages : 140

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Literature on Information Retrieval and Machine Translation

Literature on Information Retrieval and Machine Translation PDF Author:
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 194

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Literature on Information Retrieval and Machine Translation

Literature on Information Retrieval and Machine Translation PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 38

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Literature on Information Retrieval and Machine Translation

Literature on Information Retrieval and Machine Translation PDF Author: Service Bureau Corporation
Publisher:
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 52

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Multilingual Information Retrieval

Multilingual Information Retrieval PDF Author: Carol Peters
Publisher: Springer Science & Business Media
ISBN: 3642230083
Category : Computers
Languages : en
Pages : 232

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Book Description
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 ‘hands-on details’ 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.

Literature on Information Retrieval and Machine Translation

Literature on Information Retrieval and Machine Translation PDF Author: Charles F. Balz
Publisher: [Gaithersburg, Md.] : International Business Machines Corporation
ISBN:
Category : Information storage and retrieval systems
Languages : en
Pages : 192

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Book Description


Cross-Language Information Retrieval

Cross-Language Information Retrieval PDF Author: Jian-Yun Nie
Publisher: Springer Nature
ISBN: 303102138X
Category : Computers
Languages : en
Pages : 125

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Book 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. Table of Contents: Preface / 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? / References / Author Biography

Natural Language Processing and Information Retrieval

Natural Language Processing and Information Retrieval PDF Author: Tanveer Siddiqui
Publisher: Oxford University Press, USA
ISBN:
Category : Computers
Languages : en
Pages : 426

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Book Description
Natural Language Processing and Information Retrieval is a textbook designed to meet the requirements of engineering students pursuing undergraduate and postgraduate programs in computer science and information technology. The book attempts to bridge the gap between theory and practice and would also serve as a useful reference for professionals and researchers working on language-related projects.

information retrieval and machine translation. i-ii

information retrieval and machine translation. i-ii PDF Author: allen kent
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Cross-Language Information Retrieval

Cross-Language Information Retrieval PDF Author: Jian-Yun Nie
Publisher: Morgan & Claypool Publishers
ISBN: 159829864X
Category : Computers
Languages : en
Pages : 142

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Book 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. Table of Contents: Preface / 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? / References / Author Biography