-
Freitas-Junior, H.R.; Ribeiro-Neto, B.A.; Freitas-Vale, R. de; Laender, A.H.F.; Lima, L.R.S. de: Categorization-driven cross-language retrieval of medical information (2006)
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- Abstract
- The Web has become a large repository of documents (or pages) written in many different languages. In this context, traditional information retrieval (IR) techniques cannot be used whenever the user query and the documents being retrieved are in different languages. To address this problem, new cross-language information retrieval (CLIR) techniques have been proposed. In this work, we describe a method for cross-language retrieval of medical information. This method combines query terms and related medical concepts obtained automatically through a categorization procedure. The medical concepts are used to create a linguistic abstraction that allows retrieval of information in a language-independent way, minimizing linguistic problems such as polysemy. To evaluate our method, we carried out experiments using the OHSUMED test collection, whose documents are written in English, with queries expressed in Portuguese, Spanish, and French. The results indicate that our cross-language retrieval method is as effective as a standard vector space model algorithm operating on queries and documents in the same language. Further, our results are better than previous results in the literature.
- Date
- 22. 7.2006 16:46:36
- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.4, S.501-510
-
Frâncu, V.; Sabo, C.-N.: Implementation of a UDC-based multilingual thesaurus in a library catalogue : the case of BiblioPhil (2010)
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- Abstract
- In order to enhance the use of Universal Decimal Classification (UDC) numbers in information retrieval, the authors have represented classification with multilingual thesaurus descriptors and implemented this solution in an automated way. The authors illustrate a solution implemented in a BiblioPhil library system. The standard formats used are UNIMARC for subject authority records (i.e. the UDC-based multilingual thesaurus) and MARC XML support for data transfer. The multilingual thesaurus was built according to existing standards, the constituent parts of the classification notations being used as the basis for search terms in the multilingual information retrieval. The verbal equivalents, descriptors and non-descriptors, are used to expand the number of concepts and are given in Romanian, English and French. This approach saves the time of the indexer and provides more user-friendly and easier access to the bibliographic information. The multilingual aspect of the thesaurus enhances information access for a greater number of online users
- Date
- 22. 7.2010 20:40:56
- Theme
- Klassifikationssysteme im Online-Retrieval
-
Seo, H.-C.; Kim, S.-B.; Rim, H.-C.; Myaeng, S.-H.: lmproving query translation in English-Korean Cross-language information retrieval (2005)
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- Abstract
- Query translation is a viable method for cross-language information retrieval (CLIR), but it suffers from translation ambiguities caused by multiple translations of individual query terms. Previous research has employed various methods for disambiguation, including the method of selecting an individual target query term from multiple candidates by comparing their statistical associations with the candidate translations of other query terms. This paper proposes a new method where we examine all combinations of target query term translations corresponding to the source query terms, instead of looking at the candidates for each query term and selecting the best one at a time. The goodness value for a combination of target query terms is computed based on the association value between each pair of the terms in the combination. We tested our method using the NTCIR-3 English-Korean CLIR test collection. The results show some improvements regardless of the association measures we used.
- Date
- 26.12.2007 20:22:38
- Source
- Information processing and management. 41(2005) no.3, S.507-522
-
Larkey, L.S.; Connell, M.E.: Structured queries, language modelling, and relevance modelling in cross-language information retrieval (2005)
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- Abstract
- Two probabilistic approaches to cross-lingual retrieval are in wide use today, those based on probabilistic models of relevance, as exemplified by INQUERY, and those based on language modeling. INQUERY, as a query net model, allows the easy incorporation of query operators, including a synonym operator, which has proven to be extremely useful in cross-language information retrieval (CLIR), in an approach often called structured query translation. In contrast, language models incorporate translation probabilities into a unified framework. We compare the two approaches on Arabic and Spanish data sets, using two kinds of bilingual dictionaries--one derived from a conventional dictionary, and one derived from a parallel corpus. We find that structured query processing gives slightly better results when queries are not expanded. On the other hand, when queries are expanded, language modeling gives better results, but only when using a probabilistic dictionary derived from a parallel corpus. We pursue two additional issues inherent in the comparison of structured query processing with language modeling. The first concerns query expansion, and the second is the role of translation probabilities. We compare conventional expansion techniques (pseudo-relevance feedback) with relevance modeling, a new IR approach which fits into the formal framework of language modeling. We find that relevance modeling and pseudo-relevance feedback achieve comparable levels of retrieval and that good translation probabilities confer a small but significant advantage.
- Date
- 26.12.2007 20:22:11
- Source
- Information processing and management. 41(2005) no.3, S.457-474
-
Bian, G.-W.; Chen, H.-H.: Cross-language information access to multilingual collections on the Internet (2000)
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- Abstract
- Language barrier is the major problem that people face in searching for, retrieving, and understanding multilingual collections on the Internet. This paper deals with query translation and document translation in a Chinese-English information retrieval system called MTIR. Bilingual dictionary and monolingual corpus-based approaches are adopted to select suitable tranlated query terms. A machine transliteration algorithm is introduced to resolve proper name searching. We consider several design issues for document translation, including which material is translated, what roles the HTML tags play in translation, what the tradeoff is between the speed performance and the translation performance, and what from the translated result is presented in. About 100.000 Web pages translated in the last 4 months of 1997 are used for quantitative study of online and real-time Web page translation
- Date
- 16. 2.2000 14:22:39
- Source
- Journal of the American Society for Information Science. 51(2000) no.3, S.281-296
-
Grefenstette, G.: ¬The problem of cross-language information retrieval (1998)
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- Series
- The Kluwer International series on information retrieval
- Source
- Cross-language information retrieval. Ed.: G. Grefenstette
-
Ballesteros, L.; Croft, W.B.: Statistical methods for cross-language information retrieval (1998)
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- Series
- The Kluwer International series on information retrieval
- Source
- Cross-language information retrieval. Ed.: G. Grefenstette
-
Picchi, E.; Peters, C.: Cross-language information retrieval : a system for comparable corpus querying (1998)
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- Series
- The Kluwer International series on information retrieval
- Source
- Cross-language information retrieval. Ed.: G. Grefenstette
-
Yamabana, K.; Muraki, K.; Doi, S.; Kamei, S.: ¬A language conversion front-end for cross-language information retrieval (1998)
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- Series
- The Kluwer International series on information retrieval
- Source
- Cross-language information retrieval. Ed.: G. Grefenstette
-
Levergood, B.; Farrenkopf, S.; Frasnelli, E.: ¬The specification of the language of the field and interoperability : cross-language access to catalogues and online libraries (CACAO) (2008)
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- Abstract
- The CACAO Project (Cross-language Access to Catalogues and Online Libraries) has been designed to implement natural language processing and cross-language information retrieval techniques to provide cross-language access to information in libraries, a critical issue in the linguistically diverse European Union. This project report addresses two metadata-related challenges for the library community in this context: "false friends" (identical words having different meanings in different languages) and term ambiguity. The possible solutions involve enriching the metadata with attributes specifying language or the source authority file, or associating potential search terms to classes in a classification system. The European Library will evaluate an early implementation of this work in late 2008.
- Source
- Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
-
Davis, M.W.: On the effective use of large parallel corpora in cross-language text retrieval (1998)
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- Series
- The Kluwer International series on information retrieval
- Source
- Cross-language information retrieval. Ed.: G. Grefenstette
-
Hull, D.: ¬A weighted Boolean model for cross-language text retrieval (1998)
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- Series
- The Kluwer International series on information retrieval
- Source
- Cross-language information retrieval. Ed.: G. Grefenstette
-
Fluhr, C.: Crosslingual access to photo databases (2012)
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- Date
- 17. 4.2012 14:25:22
- Source
- Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
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Hull, D.A.; Grefenstette, G.: Querying across languages : a dictionary-based approach to multilingual information retrieval (1996)
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- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.484-492
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- Proceedings of the 19th annual international conference on research and development in information retrieval. Ed.: H.P. Frei
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Sheridan, P.; Ballerini, J.P.; Schäuble, P.: Building a large multilingual test collection from comparable news documents (1998)
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- Series
- The Kluwer International series on information retrieval
- Source
- Cross-language information retrieval. Ed.: G. Grefenstette
-
Evans, D.A.; Handerson, S.K.; Monarch, I.A.; Pereiro, J.; Delon, L.; Hersch, W.R.: Mapping vocabularies using latent semantics (1998)
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- Series
- The Kluwer International series on information retrieval
- Source
- Cross-language information retrieval. Ed.: G. Grefenstette
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Oard, D.W.; Resnik, P.: Support for interactive document selection in cross-language information retrieval (1999)
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- Information processing and management. 35(1999) no.3, S.363-379
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Oard, D.W.; Diekema, A.R.: Cross-language information retrieval (1999)
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- Source
- Annual review of information science and technology. 33(1998), S.223-255
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Capstick, J.: ¬A system for supporting cross-lingual information retrieval (2000)
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- Information processing and management. 36(2000) no.2, S.275-289
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Jorna, K.; Davies, S.: Cross-language information retrieval by subject-access : a distant dream ? (2001)
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- New Review of Information and Library Research. 7(2001) S.69-91
