Search (18 results, page 1 of 1)

  • × theme_ss:"Multilinguale Probleme"
  • × year_i:[1990 TO 2000}
  1. Francu, V.: Building a multilingual thesaurus based on UDC (1996) 0.08
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    Abstract
    Once the library has been through a process of transition from traditional library procedures to automated ones, natural language searching became a necessity for both indexers and searchers. Therefore, aside from the precoordinated classified catalogue we started to build a dictionary of terms in order to make postcoordinate search possible in keeping with the UDC notations assigned to each bibliographic record. After a while we came to the conclusion that the dictionary needed a control of its terms so that synonymous concepts and semantic ambuguities be avoided. The project presented in this paper shows how reality imposed the improvement of the quality of indexing and hence of the searching possibilities. Is also shows the reasons why we consider a multilingual thesaurus based on UDC an ideal indexing and searching device. The experiment applied on class 8 of UDC illustrates the way the UDC tables can be quite successfully used in building a thesaurus due to their qulities and how their limitations can be overcome by a thesaurus. An appendix to the paper contains a sample of the multilingual thesaurus given in both alphabetical and systematic layouts
  2. Kutschekmanesch, S.; Lutes, B.; Moelle, K.; Thiel, U.; Tzeras, K.: Automated multilingual indexing : a synthesis of rule-based and thesaurus-based methods (1998) 0.05
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    Source
    Information und Märkte: 50. Deutscher Dokumentartag 1998, Kongreß der Deutschen Gesellschaft für Dokumentation e.V. (DGD), Rheinische Friedrich-Wilhelms-Universität Bonn, 22.-24. September 1998. Hrsg. von Marlies Ockenfeld u. Gerhard J. Mantwill
  3. Hlava, M.M.K.: Machine-Aided Indexing (MAI) in a multilingual environemt (1992) 0.02
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    Abstract
    The Machine-Aided Indexing (MAI) program, developed by Access Innovations, Inc., is a semantic based, Boolean statement, rule interpreting application designed to operate in a multilingual environment. Use of MAI across several languages with controlled vocabularies for each language provides a consistency in indexing not available through any other mechanism
  4. Weihs, J.: Three tales of multilingual cataloguing (1998) 0.02
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    Date
    2. 8.2001 8:55:22
  5. Turner, J.M.: Cross-language transfer of indexing concepts for storage and retrieval of moving images : preliminary results (1996) 0.02
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    Abstract
    In previous research, participants who screen a videotape of stock footage from the National Film Board of Canada's stockshot collection were asked to assign terms in English that could be used for retrieval of each shot. The most popular terms were analyzed as potential indexing terms. In the current research a French language version of the research tapes was prepared, using the same images, and the data collected were in French. Compares the most popular terms identified in each of the 2 studies for each of the shots in order to determine the rate of correspondence between potential indexing terms in each language
  6. Hlava, M.M.K.: Machine aided indexing (MAI) in a multilingual environment (1993) 0.02
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    Abstract
    The machine aided indexing (MAI) software devloped by Access Innovations, Inc., is a semantic based, Boolean statement, rule interpreting application with 3 modules: the MA engine which accepts input files, matches terms in the knowledge base, interprets rules, and outputs a text file with suggested indexing terms; a rule building application allowing each Boolean style rule in the knowledge base to be created or modifies; and a statistical computation module which analyzes performance of the MA software against text manually indexed by professional human indexers. The MA software can be applied across multiple languages and can be used where the text to be searched is in one language and the indexes to be output are in another
  7. Haruyama, A.; Yamashita, Y.; Kubota, H.: Development of a multilingual indexing vocabulary based on a faceted thesauri (1996) 0.02
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  8. Ferber, R.: Automated indexing with thesaurus descriptors : a co-occurence based approach to multilingual retrieval (1997) 0.01
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    Abstract
    Indexing documents with descriptors from a multilingual thesaurus is an approach to multilingual information retrieval. However, manual indexing is expensive. Automazed indexing methods in general use terms found in the document. Thesaurus descriptors are complex terms that are often not used in documents or have specific meanings within the thesaurus; therefore most weighting schemes of automated indexing methods are not suited to select thesaurus descriptors. In this paper a linear associative system is described that uses similarity values extracted from a large corpus of manually indexed documents to construct a rank ordering of the descriptors for a given document title. The system is adaptive and has to be tuned with a training sample of records for the specific task. The system was tested on a corpus of some 80.000 bibliographic records. The results show a high variability with changing parameter values. This indicated that it is very important to empirically adapt the model to the specific situation it is used in. The overall median of the manually assigned descriptors in the automatically generated ranked list of all 3.631 descriptors is 14 for the set used to adapt the system and 11 for a test set not used in the optimization process. This result shows that the optimization is not a fitting to a specific training set but a real adaptation of the model to the setting
  9. ¬The subject enhancement of OPAC records and the need for multilingual access (1993) 0.01
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    Abstract
    Considers the potential of providing enhanced content indexing of document records either by natural language or PRECIS controlled vocabulary in order to provide more effective subject access to OPACs. Considers multilingual access OPACs. Controlled vocabulary is the best option for the latter in the short terms
  10. Krieger, C.; Schmid, H.: ¬The thesaurus implementation for AGRIS on CD-ROM (1993) 0.01
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    Abstract
    AGRIS, the International System for Agricultural Sciences and Technology became available on CD-ROM in 1989. In 1992, the AGROVOC thesaurus was added to the CD-ROM database a special searching feature. AGROVOC is a multilingual thesaurus of agricultural terminology, in English, French, Spanish, Italian and German, and is AGRIS's attempt to respond to demands for multilingual access the database. In 1986, AGROVOC became the mandatory indexing tool for AGRIS and replaced the commodity and geographical codes used previously. The thesaurus is divided into 2 main sections: a list of permuted term providing access to the online thesaurus via descriptors and cross references; and a term detail section providing information about relationships between descriptors
  11. Lassalle, E.: Text retrieval : from a monolingual system to a multilingual system (1993) 0.01
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    Abstract
    Describes the TELMI monolingual text retrieval system and its future extension, a multilingual system. TELMI is designed for medium sized databases containing short texts. The characteristics of the system are fine-grained natural language processing (NLP); an open domain and a large scale knowledge base; automated indexing based on conceptual representation of texts and reusability of the NLP tools. Discusses the French MINITEL service, the MGS information service and the TELMI research system covering the full text system; NLP architecture; the lexical level; the syntactic level; the semantic level and an example of the use of a generic system
  12. Francu, V.: Construirea unui tezaur multilingv bazat pr CZU (1997) 0.01
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    Abstract
    The automation of Bucharest University Central Library involved the compilation of a dictionary of terms to facilitate postcoordinated searching in accordance with the UDC notation attached to every bibliographic record. Describes the project and demonstrates why a multilingual UDC based thesaurus is considered as ideal indexing and searching tool. The experiment, which applied to Class 8 of UDC (Linguisitcs and Literature), illustrates how all UDC tables can be successfully used to build a thesaurus and the ways in which their limitations can be overcome by a thesaurus
  13. Timotin, A.: Multilingvism si tezaure de concepte (1994) 0.01
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    Source
    Probleme de Informare si Documentare. 28(1994) no.1, S.13-22
  14. Cao, L.; Leong, M.-K.; Low, H.-B.: Searching heterogeneous multilingual bibliographic sources (1998) 0.01
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    Date
    1. 8.1996 22:08:06
  15. Heinzelin, D. de; ¬d'¬Hautcourt, F.; Pols, R.: ¬Un nouveaux thesaurus multilingue informatise relatif aux instruments de musique (1998) 0.01
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    Date
    1. 8.1996 22:01:00
  16. Schubert, K.: Parameters for the design of an intermediate language for multilingual thesauri (1995) 0.01
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    Source
    Knowledge organization. 22(1995) nos.3/4, S.136-140
  17. Cross-language information retrieval (1998) 0.00
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    Content
    Enthält die Beiträge: GREFENSTETTE, G.: The Problem of Cross-Language Information Retrieval; DAVIS, M.W.: On the Effective Use of Large Parallel Corpora in Cross-Language Text Retrieval; BALLESTEROS, L. u. W.B. CROFT: Statistical Methods for Cross-Language Information Retrieval; Distributed Cross-Lingual Information Retrieval; Automatic Cross-Language Information Retrieval Using Latent Semantic Indexing; EVANS, D.A. u.a.: Mapping Vocabularies Using Latent Semantics; PICCHI, E. u. C. PETERS: Cross-Language Information Retrieval: A System for Comparable Corpus Querying; YAMABANA, K. u.a.: A Language Conversion Front-End for Cross-Language Information Retrieval; GACHOT, D.A. u.a.: The Systran NLP Browser: An Application of Machine Translation Technology in Cross-Language Information Retrieval; HULL, D.: A Weighted Boolean Model for Cross-Language Text Retrieval; SHERIDAN, P. u.a. Building a Large Multilingual Test Collection from Comparable News Documents; OARD; D.W. u. B.J. DORR: Evaluating Cross-Language Text Filtering Effectiveness
    Footnote
    Christian Fluhr at al (DIST/SMTI, France) outline the EMIR (European Multilingual Information Retrieval) and ESPRIT projects. They found that using SYSTRAN to machine translate queries and to access material from various multilingual databases produced less relevant results than a method referred to as 'multilingual reformulation' (the mechanics of which are only hinted at). An interesting technique is Latent Semantic Indexing (LSI), described by Michael Littman et al (Brown University) and, most clearly, by David Evans et al (Carnegie Mellon University). LSI involves creating matrices of documents and the terms they contain and 'fitting' related documents into a reduced matrix space. This effectively allows queries to be mapped onto a common semantic representation of the documents. Eugenio Picchi and Carol Peters (Pisa) report on a procedure to create links between translation equivalents in an Italian-English parallel corpus. The links are used to construct parallel linguistic contexts in real-time for any term or combination of terms that is being searched for in either language. Their interest is primarily lexicographic but they plan to apply the same procedure to comparable corpora, i.e. to texts which are not translations of each other but which share the same domain. Kiyoshi Yamabana et al (NEC, Japan) address the issue of how to disambiguate between alternative translations of query terms. Their DMAX (double maximise) method looks at co-occurrence frequencies between both source language words and target language words in order to arrive at the most probable translation. The statistical data for the decision are derived, not from the translation texts but independently from monolingual corpora in each language. An interactive user interface allows the user to influence the selection of terms during the matching process. Denis Gachot et al (SYSTRAN) describe the SYSTRAN NLP browser, a prototype tool which collects parsing information derived from a text or corpus previously translated with SYSTRAN. The user enters queries into the browser in either a structured or free form and receives grammatical and lexical information about the source text and/or its translation.
  18. Clavel, G.; Dale, P.; Heiner-Freiling, M.; Kunz, M.; Landry, P.; MacEwan, A.; Naudi, M.; Oddy, P.; Saget, A.: CoBRA+ working group on multilingual subject access : final report (1999) 0.00
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    Content
    Backgrund to the study: The question of multilingual access to bibliographic databases affects not only searchers in countries in which several languages are spoken such as Switzerland, but also all those who search material in databases containing material in more than one language, which is the case in the majority of scientific or research databases. he growth of networks means that we can easily access catalogues outside our own immediate circle - in another town, another country, another continent. In doing so we encounter problems concerning not only search interfaces, but also concerning subject access or even author access in another language. In France for example, each document, independently of the language in which it has been written, is indexed using a French-language subject heading language. Thus, in order to search by subject headings for documents written in English or German, held in the Bibliothèque nationale de France, the researcher from abroad has to master the French language. In theory, the indexer should be able to analyse a document and assign headings in his/her native language, while the user should be able to search in his/her native language. The language of the document itself should have no influence on the language of the subject heading language used for indexing nor on the language used for searching. (Practically speaking of course, there are restrictions, since there is a limit to the number of languages in which subject headings languages could be maintained and thus in which the user may search.) In the example below, we are concerned with three languages: German, French and English. If we can imagine a system in which there are equivalents among subject headings in these three languages, the following scenario may be envisaged: a German-speaking indexer will use German-language subject headings to index all the documents received, regardless of the language in which they are written. The user may search for these documents by entering subject headings in German, but also in French or in English, thanks to the equivalents that have been established, in French or in English without the necessity to know the other languages or the structure of the other SHLs. Ideally, this approach should not be confined to one database, but would allow the different databases to be brought together in virtual system: an English-speaking user in London should be able to search the database of the Deutsche Bibliothek in Frankfurt using English-language headings, and retrieving documents which have been indexed using the German subject headings' list.