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  • × theme_ss:"Multilinguale Probleme"
  1. Larkey, L.S.; Connell, M.E.: Structured queries, language modelling, and relevance modelling in cross-language information retrieval (2005) 0.04 
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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
  2. Schubert, K.: Parameters for the design of an intermediate language for multilingual thesauri (1995) 0.03 
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    Abstract
    The architecture of multilingual software systems is sometimes centred around an intermediate language. The question is analyzed to what extent this approach can be useful for multilingual thesauri, in particular regarding the functionality the thesaurus is designed to fulfil. Both the runtime use, and the construction and maintenance of the system is taken into consideration. Using the perspective of general language technology enables to draw on experience from a broader range of fields beyond thesaurus design itself as well as to consider the possibility of using a thesaurus as a knowledge module in various systems which process natural language. Therefore the features which thesauri and other natural-language processing systems have in common are emphasized, especially at the level of systems design and their core functionality
    Source
    Knowledge organization. 22(1995) nos.3/4, S.136-140
  3. Seo, H.-C.; Kim, S.-B.; Rim, H.-C.; Myaeng, S.-H.: lmproving query translation in English-Korean Cross-language information retrieval (2005) 0.03 
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    Date
    26.12.2007 20:22:38
    Source
    Information processing and management. 41(2005) no.3, S.507-522
  4. 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) 0.03 
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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
  5. Pollitt, A.S.; Ellis, G.: Multilingual access to document databases (1993) 0.03 
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    Imprint
    Antigonish, NS : Canadian Association for Information Science
    Series
    Annual Conference / Canadian Association for Information Science ; 21
    Source
    Information as a Global Commodity - Communication, Processing and Use (CAIS/ACSI '93) : 21st Annual Conference Canadian Association for Information Science, Antigonish, Nova Scotia, Canada. July 1993
  6. Oard, D.W.; Resnik, P.: Support for interactive document selection in cross-language information retrieval (1999) 0.03 
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    Source
    Information processing and management. 35(1999) no.3, S.363-379
  7. Capstick, J.: ¬A system for supporting cross-lingual information retrieval (2000) 0.03 
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    Source
    Information processing and management. 36(2000) no.2, S.275-289
  8. Drexel, G.: Knowledge engineering for intelligent information retrieval (2001) 0.03 
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    Series
    Lecture notes in computer science; vol.2004
    Source
    Computational linguistics and intelligent text processing: second international conference; Proceedings. CICLing 2001, Mexico City, Mexiko, 18.-24.2.2001. Ed.: Alexander Gelbukh
  9. Vilares, J.; Alonso, M.A.; Doval, Y.; Vilares, M.: Studying the effect and treatment of misspelled queries in Cross-Language Information Retrieval (2016) 0.03 
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    Content
    Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457315001478.
    Source
    Information processing and management. 52(2016) no.4, S.646-657
  10. Flores, F.N.; Moreira, V.P.: Assessing the impact of stemming accuracy on information retrieval : a multilingual perspective (2016) 0.03 
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    Content
    Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457316300358.
    Source
    Information processing and management. 52(2016) no.5, S.840-854
  11. Gupta, P.; Banchs, R.E.; Rosso, P.: Continuous space models for CLIR (2017) 0.03 
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    Content
    Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457316305982 [http://dx.doi.org/10.1016/j.ipm.2016.11.002].
    Source
    Information processing and management. 53(2017) no.2, S.359-370
  12. Tsai, M.-.F.; Chen, H.-H.; Wang, Y.-T.: Learning a merge model for multilingual information retrieval (2011) 0.02 
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    Date
    29. 1.2016 20:34:33
    Source
    Information processing and management. 47(2011) no.5, S.635-646
  13. Wang, F.L.; Yang, C.C.: ¬The impact analysis of language differences on an automatic multilingual text summarization system (2006) 0.02 
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    Abstract
    Based on the salient features of the documents, automatic text summarization systems extract the key sentences from source documents. This process supports the users in evaluating the relevance of the extracted documents returned by information retrieval systems. Because of this tool, efficient filtering can be achieved. Indirectly, these systems help to resolve the problem of information overloading. Many automatic text summarization systems have been implemented for use with different languages. It has been established that the grammatical and lexical differences between languages have a significant effect on text processing. However, the impact of the language differences on the automatic text summarization systems has not yet been investigated. The authors provide an impact analysis of language difference on automatic text summarization. It includes the effect on the extraction processes, the scoring mechanisms, the performance, and the matching of the extracted sentences, using the parallel corpus in English and Chinese as the tested object. The analysis results provide a greater understanding of language differences and promote the future development of more advanced text summarization techniques.
    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.5, S.684-696
  14. Ye, Z.; Huang, J.X.; He, B.; Lin, H.: Mining a multilingual association dictionary from Wikipedia for cross-language information retrieval (2012) 0.02 
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    Abstract
    Wikipedia is characterized by its dense link structure and a large number of articles in different languages, which make it a notable Web corpus for knowledge extraction and mining, in particular for mining the multilingual associations. In this paper, motivated by a psychological theory of word meaning, we propose a graph-based approach to constructing a cross-language association dictionary (CLAD) from Wikipedia, which can be used in a variety of cross-language accessing and processing applications. In order to evaluate the quality of the mined CLAD, and to demonstrate how the mined CLAD can be used in practice, we explore two different applications of the mined CLAD to cross-language information retrieval (CLIR). First, we use the mined CLAD to conduct cross-language query expansion; and, second, we use it to filter out translation candidates with low translation probabilities. Experimental results on a variety of standard CLIR test collections show that the CLIR retrieval performance can be substantially improved with the above two applications of CLAD, which indicates that the mined CLAD is of sound quality.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.12, S.2474-2487
  15. Jones, R.K.: Language universalization for improved information management : necessity for Esperanto (1978) 0.02 
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    Abstract
    Lacking a universal working language, information managers around the world cannot now deal reliably and efficiently with multilingual documentation. Language mismatch paralyses international cooperative efforts such as multinational bibliographic standardisation, linking of collections, and sharing the work of classification and indexing. Knowledge of the same second language by all information managers can open the communication channels needed for worldwide cooperation. Ethnis and ideological rivalries prclude success in this role by any of the conventional languages. The planned language, Esperanto, is the logical choice because of its neutrality, rational structure, clarity and expressive power. Pioneering projects in automatic language processing, not possible in English, are feasible in Esperanto
    Source
    Information processing and management. 14(1978) no.6, S.363-368
  16. Multilingual information management : current levels and future abilities. A report Commissioned by the US National Science Foundation and also delivered to the European Commission's Language Engineering Office and the US Defense Advanced Research Projects Agency, April 1999 (1999) 0.02 
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    Abstract
    This picture will rapidly change. The twin challenges of massive information overload via the web and ubiquitous computers present us with an unavoidable task: developing techniques to handle multilingual and multi-modal information robustly and efficiently, with as high quality performance as possible. The most effective way for us to address such a mammoth task, and to ensure that our various techniques and applications fit together, is to start talking across the artificial research boundaries. Extending the current technologies will require integrating the various capabilities into multi-functional and multi-lingual natural language systems. However, at this time there is no clear vision of how these technologies could or should be assembled into a coherent framework. What would be involved in connecting a speech recognition system to an information retrieval engine, and then using machine translation and summarization software to process the retrieved text? How can traditional parsing and generation be enhanced with statistical techniques? What would be the effect of carefully crafted lexicons on traditional information retrieval? At which points should machine translation be interleaved within information retrieval systems to enable multilingual processing?
  17. Reinisch, F.: Wer suchet - der findet? : oder Die Überwindung der sprachlichen Grenzen bei der Suche in Volltextdatenbanken (2000) 0.02 
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    Date
    22. 7.2000 17:48:06
    Source
    Dokumente und Datenbanken in elektronischen Netzen: Tagungsberichte vom 6. und 7. Österreichischen Online-Informationstreffen bzw. vom 7. und 8. Österreichischen Dokumentartag, Schloß Seggau, Seggauberg bei Leibnitz, 26.-29. September 1995, Congresszentrum Igls bei Innsbruck, 21.-24. Oktober 1997. Hrsg.: E. Pipp
  18. Kishida, K.: Technical issues of cross-language information retrieval : a review (2005) 0.02 
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    Source
    Information processing and management. 41(2005) no.3, S.433-456
  19. Zhou, Y. et al.: Analysing entity context in multilingual Wikipedia to support entity-centric retrieval applications (2016) 0.02 
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    Date
    1. 2.2016 18:25:22
    Series
    Lecture notes in computer science ; 9398
  20. Celli, F. et al.: Enabling multilingual search through controlled vocabularies : the AGRIS approach (2016) 0.02 
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    Series
    Communications in computer and information science; 672
    Source
    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou

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