Multilingual Information Retrieval

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Multilingual Information Retrieval

Author : Carol Peters
Publisher : Springer Science & Business Media
ISBN 13 : 3642230075
Total Pages : 232 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Multilingual Information Retrieval by : Carol Peters

Download or read book Multilingual Information Retrieval written by Carol Peters and published by Springer Science & Business Media. This book was released on 2012-01-05 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Cross-Language Information Retrieval

Author : Jian-Yun Nie
Publisher : Springer Nature
ISBN 13 : 303102138X
Total Pages : 125 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Cross-Language Information Retrieval by : Jian-Yun Nie

Download or read book Cross-Language Information Retrieval written by Jian-Yun Nie and published by Springer Nature. This book was released on 2022-05-31 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Multi-source, Multilingual Information Extraction and Summarization

Author : Thierry Poibeau
Publisher : Springer Science & Business Media
ISBN 13 : 3642285694
Total Pages : 331 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Multi-source, Multilingual Information Extraction and Summarization by : Thierry Poibeau

Download or read book Multi-source, Multilingual Information Extraction and Summarization written by Thierry Poibeau and published by Springer Science & Business Media. This book was released on 2012-08-14 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information extraction (IE) and text summarization (TS) are powerful technologies for finding relevant pieces of information in text and presenting them to the user in condensed form. The ongoing information explosion makes IE and TS critical for successful functioning within the information society. These technologies face particular challenges due to the inherent multi-source nature of the information explosion. The technologies must now handle not isolated texts or individual narratives, but rather large-scale repositories and streams---in general, in multiple languages---containing a multiplicity of perspectives, opinions, or commentaries on particular topics, entities or events. There is thus a need to adapt existing techniques and develop new ones to deal with these challenges. This volume contains a selection of papers that present a variety of methodologies for content identification and extraction, as well as for content fusion and regeneration. The chapters cover various aspects of the challenges, depending on the nature of the information sought---names vs. events,--- and the nature of the sources---news streams vs. image captions vs. scientific research papers, etc. This volume aims to offer a broad and representative sample of studies from this very active research field.

Evaluating Information Retrieval and Access Tasks

Author : Tetsuya Sakai
Publisher : Springer Nature
ISBN 13 : 9811555540
Total Pages : 225 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Evaluating Information Retrieval and Access Tasks by : Tetsuya Sakai

Download or read book Evaluating Information Retrieval and Access Tasks written by Tetsuya Sakai and published by Springer Nature. This book was released on 1901 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book summarizes the first two decades of the NII Testbeds and Community for Information access Research (NTCIR). NTCIR is a series of evaluation forums run by a global team of researchers and hosted by the National Institute of Informatics (NII), Japan. The book is unique in that it discusses not just what was done at NTCIR, but also how it was done and the impact it has achieved. For example, in some chapters the reader sees the early seeds of what eventually grew to be the search engines that provide access to content on the World Wide Web, todays smartphones that can tailor what they show to the needs of their owners, and the smart speakers that enrich our lives at home and on the move. We also get glimpses into how new search engines can be built for mathematical formulae, or for the digital record of a lived human life. Key to the success of the NTCIR endeavor was early recognition that information access research is an empirical discipline and that evaluation therefore lay at the core of the enterprise. Evaluation is thus at the heart of each chapter in this book. They show, for example, how the recognition that some documents are more important than others has shaped thinking about evaluation design. The thirty-three contributors to this volume speak for the many hundreds of researchers from dozens of countries around the world who together shaped NTCIR as organizers and participants. This book is suitable for researchers, practitioners, and students--anyone who wants to learn about past and present evaluation efforts in information retrieval, information access, and natural language processing, as well as those who want to participate in an evaluation task or even to design and organize one.

Introduction to Information Retrieval

Author : Christopher D. Manning
Publisher : Cambridge University Press
ISBN 13 : 1139472100
Total Pages : pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Introduction to Information Retrieval by : Christopher D. Manning

Download or read book Introduction to Information Retrieval written by Christopher D. Manning and published by Cambridge University Press. This book was released on 2008-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Cross-Language Information Retrieval and Evaluation

Author : Cross-Language Evaluation Forum. Workshop
Publisher : Springer Science & Business Media
ISBN 13 : 3540424466
Total Pages : 396 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Cross-Language Information Retrieval and Evaluation by : Cross-Language Evaluation Forum. Workshop

Download or read book Cross-Language Information Retrieval and Evaluation written by Cross-Language Evaluation Forum. Workshop and published by Springer Science & Business Media. This book was released on 2001-08-29 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the thoroughly refereed post-proceedings of the international Cross-Language Evaluation Forum Workshop organized by the CLEF activity of the European DELOS Network of Excellence for Digital Libraries. The 25 revised papers presented together with an introduction were carefully selected based on two rounds of reviewing. All current aspects of cross-language information retrieval are addressed, ranging from foundational issues and systems evaluation to applications in a variety of fields.

Multilingual Natural Language Processing Applications

Author : Daniel Bikel
Publisher : IBM Press
ISBN 13 : 0137047819
Total Pages : 829 pages
Book Rating : 4.1/5 (37 download)

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Book Synopsis Multilingual Natural Language Processing Applications by : Daniel Bikel

Download or read book Multilingual Natural Language Processing Applications written by Daniel Bikel and published by IBM Press. This book was released on 2012-05-11 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today’s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy. Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more. This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others. Coverage includes Core NLP problems, and today’s best algorithms for attacking them Processing the diverse morphologies present in the world’s languages Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality Recognizing inferences, subjectivity, and opinion polarity Managing key algorithmic and design tradeoffs in real-world applications Extracting information via mention detection, coreference resolution, and events Building large-scale systems for machine translation, information retrieval, and summarization Answering complex questions through distillation and other advanced techniques Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management Constructing common infrastructure for multiple multilingual text processing applications This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.

Cross-Language Information Retrieval

Author : Jian-Yun Nie
Publisher : Morgan & Claypool Publishers
ISBN 13 : 159829864X
Total Pages : 142 pages
Book Rating : 4.5/5 (982 download)

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Book Synopsis Cross-Language Information Retrieval by : Jian-Yun Nie

Download or read book Cross-Language Information Retrieval written by Jian-Yun Nie and published by Morgan & Claypool Publishers. This book was released on 2010-05-05 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Statistical Language Models for Information Retrieval

Author : ChengXiang Zhai
Publisher : Morgan & Claypool Publishers
ISBN 13 : 159829590X
Total Pages : 142 pages
Book Rating : 4.5/5 (982 download)

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Book Synopsis Statistical Language Models for Information Retrieval by : ChengXiang Zhai

Download or read book Statistical Language Models for Information Retrieval written by ChengXiang Zhai and published by Morgan & Claypool Publishers. This book was released on 2009 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: As online information grows dramatically, search engines such as Google are playing a more and more important role in our lives. Critical to all search engines is the problem of designing an effective retrieval model that can rank documents accurately for a given query. This has been a central research problem in information retrieval for several decades. In the past ten years, a new generation of retrieval models, often referred to as statistical language models, has been successfully applied to solve many different information retrieval problems. Compared with the traditional models such as the vector space model, these new models have a more sound statistical foundation and can leverage statistical estimation to optimize retrieval parameters. They can also be more easily adapted to model non-traditional and complex retrieval problems. Empirically, they tend to achieve comparable or better performance than a traditional model with less effort on parameter tuning. This book systematically reviews the large body of literature on applying statistical language models to information retrieval with an emphasis on the underlying principles, empirically effective language models, and language models developed for non-traditional retrieval tasks. All the relevant literature has been synthesized to make it easy for a reader to digest the research progress achieved so far and see the frontier of research in this area. The book also offers practitioners an informative introduction to a set of practically useful language models that can effectively solve a variety of retrieval problems. No prior knowledge about information retrieval is required, but some basic knowledge about probability and statistics would be useful for fully digesting all the details. Table of Contents: Introduction / Overview of Information Retrieval Models / Simple Query Likelihood Retrieval Model / Complex Query Likelihood Model / Probabilistic Distance Retrieval Model / Language Models for Special Retrieval Tasks / Language Models for Latent Topic Analysis / Conclusions

Cross-Language Information Retrieval

Author : Gregory Grefenstette
Publisher : Springer Science & Business Media
ISBN 13 : 1461556619
Total Pages : 190 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Cross-Language Information Retrieval by : Gregory Grefenstette

Download or read book Cross-Language Information Retrieval written by Gregory Grefenstette and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most of the papers in this volume were first presented at the Workshop on Cross-Linguistic Information Retrieval that was held August 22, 1996 dur ing the SIGIR'96 Conference. Alan Smeaton of Dublin University and Paraic Sheridan of the ETH, Zurich, were the two other members of the Scientific Committee for this workshop. SIGIR is the Association for Computing Ma chinery (ACM) Special Interest Group on Information Retrieval, and they have held conferences yearly since 1977. Three additional papers have been added: Chapter 4 Distributed Cross-Lingual Information retrieval describes the EMIR retrieval system, one of the first general cross-language systems to be implemented and evaluated; Chapter 6 Mapping Vocabularies Using Latent Semantic Indexing, which originally appeared as a technical report in the Lab oratory for Computational Linguistics at Carnegie Mellon University in 1991, is included here because it was one of the earliest, though hard-to-find, publi cations showing the application of Latent Semantic Indexing to the problem of cross-language retrieval; and Chapter 10 A Weighted Boolean Model for Cross Language Text Retrieval describes a recent approach to solving the translation term weighting problem, specific to Cross-Language Information Retrieval. Gregory Grefenstette CONTRIBUTORS Lisa Ballesteros David Hull W, Bruce Croft Gregory Grefenstette Center for Intelligent Xerox Research Centre Europe Information Retrieval Grenoble Laboratory Computer Science Department University of Massachusetts Thomas K. Landauer Department of Psychology Mark W. Davis and Institute of Cognitive Science Computing Research Lab University of Colorado, Boulder New Mexico State University Michael L. Littman Bonnie J.

Evaluation of Multilingual and Multi-modal Information Retrieval

Author : Cross-Language Evaluation Forum. Workshop
Publisher : Springer Science & Business Media
ISBN 13 : 3540749985
Total Pages : 1018 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Evaluation of Multilingual and Multi-modal Information Retrieval by : Cross-Language Evaluation Forum. Workshop

Download or read book Evaluation of Multilingual and Multi-modal Information Retrieval written by Cross-Language Evaluation Forum. Workshop and published by Springer Science & Business Media. This book was released on 2007-09-06 with total page 1018 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed postproceedings of the 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, held in Alicante, Spain, September 2006. The revised papers presented together with an introduction were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on Multilingual Textual Document Retrieval, Domain-Specifig Information Retrieval, i-CLEF, QA@CLEF, ImageCLEF, CLSR, WebCLEF and GeoCLEF.

Information Retrieval

Author : Ayse Goker
Publisher : John Wiley & Sons
ISBN 13 : 9780470033630
Total Pages : 320 pages
Book Rating : 4.0/5 (336 download)

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Book Synopsis Information Retrieval by : Ayse Goker

Download or read book Information Retrieval written by Ayse Goker and published by John Wiley & Sons. This book was released on 2009-12-15 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an essential reference to cutting-edge issues and future directions in information retrieval Information retrieval (IR) can be defined as the process of representing, managing, searching, retrieving, and presenting information. Good IR involves understanding information needs and interests, developing an effective search technique, system, presentation, distribution and delivery. The increased use of the Web and wider availability of information in this environment led to the development of Web search engines. This change has brought fresh challenges to a wider variety of users’ needs, tasks, and types of information. Today, search engines are seen in enterprises, on laptops, in individual websites, in library catalogues, and elsewhere. Information Retrieval: Searching in the 21st Century focuses on core concepts, and current trends in the field. This book focuses on: Information Retrieval Models User-centred Evaluation of Information Retrieval Systems Multimedia Resource Discovery Image Users’ Needs and Searching Behaviour Web Information Retrieval Mobile Search Context and Information Retrieval Text Categorisation and Genre in Information Retrieval Semantic Search The Role of Natural Language Processing in Information Retrieval: Search for Meaning and Structure Cross-language Information Retrieval Performance Issues in Parallel Computing for Information Retrieval This book is an invaluable reference for graduate students on IR courses or courses in related disciplines (e.g. computer science, information science, human-computer interaction, and knowledge management), academic and industrial researchers, and industrial personnel tracking information search technology developments to understand the business implications. Intermediate-advanced level undergraduate students on IR or related courses will also find this text insightful. Chapters are supplemented with exercises to stimulate further thinking.

Advances in Multilingual and Multimodal Information Retrieval

Author : Valentin Jijkoun
Publisher : Springer
ISBN 13 : 3540857605
Total Pages : 922 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Advances in Multilingual and Multimodal Information Retrieval by : Valentin Jijkoun

Download or read book Advances in Multilingual and Multimodal Information Retrieval written by Valentin Jijkoun and published by Springer. This book was released on 2008-09-26 with total page 922 pages. Available in PDF, EPUB and Kindle. Book excerpt: The eighth campaign of the Cross Language Evaluation Forum (CLEF) for - ropean languages was held from January to September 2007. There were seven distinct evaluation tracks in CLEF 2007, designed to test the performance of a wide range of multilingual information access systems or system components. CLEF is by now an established international evaluation initiative and, in 2007, 81 groups from all over the world submitted results for one or more of the di?erent evaluation tracks. Full details regarding the design of the tracks, the methodologies used for evaluation, and the results obtained by the participants can be found in the di?erent sections of these proceedings. As always the results of the campaign were reported and discussed at the annual workshop, held in Budapest, Hungary, 19-21 September, immediately following the eleventh European Conference on Digital Libraries. The workshop playsanimportantrolebyprovidingtheopportunityforallthe groupsthathave participated in the evaluation campaign to get together to compare approaches and exchange ideas.

Language Modeling for Information Retrieval

Author : W. Bruce Croft
Publisher : Springer Science & Business Media
ISBN 13 : 9401701717
Total Pages : 253 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis Language Modeling for Information Retrieval by : W. Bruce Croft

Download or read book Language Modeling for Information Retrieval written by W. Bruce Croft and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: A statisticallanguage model, or more simply a language model, is a prob abilistic mechanism for generating text. Such adefinition is general enough to include an endless variety of schemes. However, a distinction should be made between generative models, which can in principle be used to synthesize artificial text, and discriminative techniques to classify text into predefined cat egories. The first statisticallanguage modeler was Claude Shannon. In exploring the application of his newly founded theory of information to human language, Shannon considered language as a statistical source, and measured how weH simple n-gram models predicted or, equivalently, compressed natural text. To do this, he estimated the entropy of English through experiments with human subjects, and also estimated the cross-entropy of the n-gram models on natural 1 text. The ability of language models to be quantitatively evaluated in tbis way is one of their important virtues. Of course, estimating the true entropy of language is an elusive goal, aiming at many moving targets, since language is so varied and evolves so quickly. Yet fifty years after Shannon's study, language models remain, by all measures, far from the Shannon entropy liInit in terms of their predictive power. However, tbis has not kept them from being useful for a variety of text processing tasks, and moreover can be viewed as encouragement that there is still great room for improvement in statisticallanguage modeling.

Multilingual Information Access for Text, Speech and Images

Author : Paul Clough
Publisher : Springer
ISBN 13 : 3540320512
Total Pages : 848 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Multilingual Information Access for Text, Speech and Images by : Paul Clough

Download or read book Multilingual Information Access for Text, Speech and Images written by Paul Clough and published by Springer. This book was released on 2005-08-25 with total page 848 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ?fth campaign of the Cross-Language Evaluation Forum (CLEF) for Eu- pean languages was held from January to September 2004. Participation in the CLEF campaigns has increased each year and CLEF 2004 was no exception: 55 groups submitted results for one or more of the di?erent tracks compared with 42 groups in the previous year. CLEF 2004 also marked a breaking point with respect to previous campaigns. The focus was no longer mainly concentrated on multilingual document retrieval as in previous years but was diversi?ed to include di?erent kinds of text retrieval across languages (e. g. , exact answers in the question-answering track) and retrieval on di?erent kinds of media (i. e. , not just plain text but collections containing image and speech as well). In ad- tion, increasing attention was given to issues that regard system usability and user satisfaction with tasks to measure the e?ectiveness of interactive systems or system components being included in both the cross-language question - swering and image retrieval tasks with the collaboration of the coordinators of the interactive track. The campaign culminated in a two-and-a-half-day workshop held in Bath, UK, 15–17 September, immediately following the 8th European Conference on Digital Libraries. The workshop was attended by nearly 100 researchers and s- tem developers.

Automatic Text Processing

Author : Gerard Salton
Publisher : Reading, Mass. : Addison-Wesley
ISBN 13 :
Total Pages : 552 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Automatic Text Processing by : Gerard Salton

Download or read book Automatic Text Processing written by Gerard Salton and published by Reading, Mass. : Addison-Wesley. This book was released on 1989 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Cross-Language Information Retrieval

Author : Martin Braschler
Publisher : Springer
ISBN 13 : 3540452370
Total Pages : 835 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Advances in Cross-Language Information Retrieval by : Martin Braschler

Download or read book Advances in Cross-Language Information Retrieval written by Martin Braschler and published by Springer. This book was released on 2003-11-17 with total page 835 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the thoroughly refereed post-proceedings of a workshop by the Cross-Language Evaluation Forum Campaign, CLEF 2002, held in Rome, Italy in September 2002. The 43 revised full papers presented together with an introduction and run data in an appendix were carefully reviewed and revised upon presentation at the workshop. The papers are organized in topical sections on systems evaluation experiments, cross language and more, monolingual experiments, mainly domain-specific information retrieval, interactive issues, cross-language spoken document retrieval, and cross-language evaluation issues and initiatives.