Search (146 results, page 2 of 8)

0.0030444188 = product of:
  0.0060888375 = sum of:
    0.0060888375 = product of:
      0.012177675 = sum of:
        0.012177675 = weight(_text_:a in 5919) [ClassicSimilarity], result of:
          0.012177675 = score(doc=5919,freq=18.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.22931081 = fieldWeight in 5919, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=5919)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

While many websites aim at a large and linguistically diversified audience, they present their information mostly in the languages of larger speakers groups. Little is known about the effect on accessibility. We investigated the influence of a site's language offer on website access and search behaviour with two studies, and studied the interaction of language offers and domain knowledge. To achieve high ecological validity, we analysed data from a multilingual site's web-server logfile and from a questionnaire posted on it, and compared the behaviour of users who accessed the site in a non-native language to that of users who accessed it in their native language. Results from 277,809 user sessions and 165 international survey participants indicate that a website's languages may strongly reduce website access by users not supplied with information in their native language. Once inside a site, non-native speakers with high domain knowledge behave similarly to native speakers. However, non-native speakers' behaviour becomes language-sensitive when they have low domain knowledge.

Type

a

0.0029000505 = product of:
  0.005800101 = sum of:
    0.005800101 = product of:
      0.011600202 = sum of:
        0.011600202 = weight(_text_:a in 5915) [ClassicSimilarity], result of:
          0.011600202 = score(doc=5915,freq=12.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.21843673 = fieldWeight in 5915, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5915)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This paper explores the potential for creating online environments for bilingual communities in which minority-language use is supported and actively encouraged. It discusses the language behaviour and attitudes of Welsh-English bilingual users in Pen i Ben, a pilot online community of practice for Head Teachers in Wales. The patterns of language use and the functional roles served by the languages are described. Despite the creation of a bilingual environment and the implementation of specific strategies to encourage Welsh use, the trend indicates increasing use of English. However, it is suggested that a wider set of supporting strategies might be successful in maintaining a truly bilingual online community.

Type

a

0.0028703054 = product of:
  0.005740611 = sum of:
    0.005740611 = product of:
      0.011481222 = sum of:
        0.011481222 = weight(_text_:a in 2506) [ClassicSimilarity], result of:
          0.011481222 = score(doc=2506,freq=16.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.2161963 = fieldWeight in 2506, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=2506)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This report presents a case study of the development of an interface for a novel and complex form of document retrieval: searching for texts written in foreign languages based on native language queries. Although the underlying technology for achieving such a search is relatively weIl understood, the appropriate interface design is not. A study involving users from the beginning of the design process is described, and it covers initial examination of user needs and tasks, preliminary design and testing of interface components, building, testing, and refining the interface, and, finally, conducting usability tests of the system. Lessons are learned at every stage of the process, leading to a much more informed view of how such an interface should be built.

Type

a

0.0028703054 = product of:
  0.005740611 = sum of:
    0.005740611 = product of:
      0.011481222 = sum of:
        0.011481222 = weight(_text_:a in 5050) [ClassicSimilarity], result of:
          0.011481222 = score(doc=5050,freq=16.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.2161963 = fieldWeight in 5050, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=5050)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Users' cross-lingual queries to a digital library system might be short and the query terms may not be included in a common translation dictionary (unknown terms). In this article, the authors investigate the feasibility of exploiting the Web as the multilingual corpus source to translate unknown query terms for cross-language information retrieval in digital libraries. They propose a Webbased term translation approach to determine effective translations for unknown query terms by mining bilingual search-result pages obtained from a real Web search engine. This approach can enhance the construction of a domain-specific bilingual lexicon and bring multilingual support to a digital library that only has monolingual document collections. Very promising results have been obtained in generating effective translation equivalents for many unknown terms, including proper nouns, technical terms, and Web query terms, and in assisting bilingual lexicon construction for a real digital library system.

Type

a

0.0028703054 = product of:
  0.005740611 = sum of:
    0.005740611 = product of:
      0.011481222 = sum of:
        0.011481222 = weight(_text_:a in 241) [ClassicSimilarity], result of:
          0.011481222 = score(doc=241,freq=16.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.2161963 = fieldWeight in 241, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=241)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The predominance of English-only online health information poses a serious challenge to nonEnglish speakers. To overcome this barrier, we incorporated cross-language information retrieval (CLIR) techniques into a fully functional prototype. It supports Spanish language searches over an English data set using a Spanish-English bilingual term list (BTL). The modular design allows for system and BTL growth and takes advantage of English-system enhancements. Language-based design decisions and implications for integrating non-English components with the existing monolingual architecture are presented. Algorithmic and BTL improvements are used to bring CUR retrieval scores in line with the monolingual values. After validating these changes, we conducted a failure analysis and error categorization for the worst performing queries. We conclude with a comprehensive discussion and directions for future work.

Source

Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch

Type

a

0.0028703054 = product of:
  0.005740611 = sum of:
    0.005740611 = product of:
      0.011481222 = sum of:
        0.011481222 = weight(_text_:a in 1025) [ClassicSimilarity], result of:
          0.011481222 = score(doc=1025,freq=16.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.2161963 = fieldWeight in 1025, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=1025)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Cross-language information retrieval (CLIR) systems allow users to find documents written in different languages from that of their query. Simple knowledge structures such as bilingual term lists have proven to be a remarkably useful basis for bridging that language gap. A broad array of dictionary-based techniques have demonstrated utility, but comparison across techniques has been difficult because evaluation results often span only a limited range of conditions. This article identifies the key issues in dictionary-based CLIR, develops unified frameworks for term selection and term translation that help to explain the relationships among existing techniques, and illustrates the effect of those techniques using four contrasting languages for systematic experiments with a uniform query translation architecture. Key results include identification of a previously unseen dependence of pre- and post-translation expansion on orthographic cognates and development of a query-specific measure for translation fanout that helps to explain the utility of structured query methods.

Type

a

0.0028703054 = product of:
  0.005740611 = sum of:
    0.005740611 = product of:
      0.011481222 = sum of:
        0.011481222 = weight(_text_:a in 4043) [ClassicSimilarity], result of:
          0.011481222 = score(doc=4043,freq=16.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.2161963 = fieldWeight in 4043, product of:
              4.0 = tf(freq=16.0), with freq of:
                16.0 = termFreq=16.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=4043)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This paper presents a clustered approach to designing an overall ontological model together with a general rule-based component that serves as a mapping device. By observational criteria, a multi-lingual team of experts excerpts concepts from general communication in the media. The team, then, finds equivalent expressions in English, German, French, and Spanish. On the basis of a set of ontological and lexical relations, a conceptual network is built up. Concepts are thought to be universal. Objects unique in time and space are identified by names and will be explained by the universals as their instances. Our approach relies on multi-relational descriptions of concepts. It provides a powerful tool for documentation and conceptual language learning. First and foremost, our multi-lingual, polyhierarchical ontology fills the gap of semantically-based information retrieval by generating enhanced and improved queries for internet search

Type

a

0.0028047764 = product of:
  0.005609553 = sum of:
    0.005609553 = product of:
      0.011219106 = sum of:
        0.011219106 = weight(_text_:a in 108) [ClassicSimilarity], result of:
          0.011219106 = score(doc=108,freq=22.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.21126054 = fieldWeight in 108, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=108)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The case under consideration is a project of building an interdisciplinary multilingual thesaurus (Romanian-English-French) starting from a list of indexing terms based on an abridged version of the Universal Decimal Classification (UDC). The resulting thesaurus is intended for public libraries for both indexing and searching purposes in bibliographic databases covering a wide range of topics but with a fairly low level of specificity. The problems encountered in such an approach fall into two groups: 1) concordance or compatibility problems in terms of the indexing languages considered (between a classification system and a thesaurus); 2) equivalence and, hence, translatability problems in terms of the natural languages involved. Additionally, the question of ambiguity given the co-occurrence of terms in more than one class, will be discussed with reference to homographs and polysemantic words. In a thesaurus with such a wide coverage yet with a low specificity level, the method adopted in the thesaurus construction was to provide as many lead-in terms as possible and post them up to the closest in meaning broader term in order to improve the recall ratio

Type

a

0.0028047764 = product of:
  0.005609553 = sum of:
    0.005609553 = product of:
      0.011219106 = sum of:
        0.011219106 = weight(_text_:a in 2243) [ClassicSimilarity], result of:
          0.011219106 = score(doc=2243,freq=22.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.21126054 = fieldWeight in 2243, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2243)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Content

Merely translating web sites is not sufficient for serving international clienteles. Web sites need to be "localised". This involves adapting various informational aspects to address the local population in such a way that users understand the content and its use in the context of their own culture. A cultural marker denotes a convention used on a web site to address a particular population. Research in the area of localisation has concentrated on commercial web sites and software. We found that localisation of cultural web sites increases the complexity of the information management issues. As a project of the Section on Audiovisual and Multimedia of IFLA, a kind for localising the The Moving Image Collections (MIC) site was developed, then tested by using it to localise a selection of pages from the web site in French, Spanish, and Arabic. The kit, in the form of a .pdf file, can be used to produce a version of the MIC site localised for any other language or ethnic community.

Type

a

0.0026849252 = product of:
  0.0053698504 = sum of:
    0.0053698504 = product of:
      0.010739701 = sum of:
        0.010739701 = weight(_text_:a in 151) [ClassicSimilarity], result of:
          0.010739701 = score(doc=151,freq=14.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.20223314 = fieldWeight in 151, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=151)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

In this paper we briefly sketch the dynamics of the linguistic paradigm in Information Retrieval (IR) and its adaptation to the Internet. The emergence of Natural Language Processing (NLP) techniques has been a major factor leading to this adaptation. These techniques and tools try to adapt to the current needs, i.e. retrieving information from documents written and indexed in a foreign language by using a native language query to express the information need. This process, known as cross-language IR (CLIR), is a field at the cross roads of both Machine Translation and IR. This field represents a real challenge to the IR community and will require a solid cooperation with the NLP community.

Type

a

0.0026849252 = product of:
  0.0053698504 = sum of:
    0.0053698504 = product of:
      0.010739701 = sum of:
        0.010739701 = weight(_text_:a in 5053) [ClassicSimilarity], result of:
          0.010739701 = score(doc=5053,freq=14.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.20223314 = fieldWeight in 5053, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=5053)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

A novel and complex form of information access is cross-language information retrieval: searching for texts written in foreign languages based on native language queries. Although the underlying technology for achieving such a search is relatively well understood, the appropriate interface design is not. The authors present three user evaluations undertaken during the iterative design of Clarity, a cross-language retrieval system for lowdensity languages, and shows how the user-interaction design evolved depending on the results of usability tests. The first test was instrumental to identify weaknesses in both functionalities and interface; the second was run to determine if query translation should be shown or not; the final was a global assessment and focused on user satisfaction criteria. Lessons were learned at every stage of the process leading to a much more informed view of what a cross-language retrieval system should offer to users.

Type

a

0.0026849252 = product of:
  0.0053698504 = sum of:
    0.0053698504 = product of:
      0.010739701 = sum of:
        0.010739701 = weight(_text_:a in 5518) [ClassicSimilarity], result of:
          0.010739701 = score(doc=5518,freq=14.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.20223314 = fieldWeight in 5518, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=5518)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The article describes the research done over a bibliographic database in order to show the impact the specificity of the knowledge organising tools may have on information retrieval (IR). For this purpose two multilingual Universal Decimal Classification (UDC) based thesauri having different degrees of specificity are considered. Issues of harmonising a classificatory structure with a thesaurus structure are introduced, and significant aspects of information retrieval in a multilingual environment are examined in an extensive manner. Aspects of complementarity are discussed with particular emphasis on the real impact produced on IR by alternative search facilities. Finally, a number of conclusions are formulated as they arise from the study.

Type

a

0.0026849252 = product of:
  0.0053698504 = sum of:
    0.0053698504 = product of:
      0.010739701 = sum of:
        0.010739701 = weight(_text_:a in 1020) [ClassicSimilarity], result of:
          0.010739701 = score(doc=1020,freq=14.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.20223314 = fieldWeight in 1020, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=1020)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

In this paper, we compile and review several experiments measuring cross-lingual information retrieval (CLIR) performance as a function of the following resources: bilingual term lists, parallel corpora, machine translation (MT), and stemmers. Our CLIR system uses a simple probabilistic language model; the studies used TREC test corpora over Chinese, Spanish and Arabic. Our findings include: One can achieve an acceptable CLIR performance using only a bilingual term list (70-80% on Chinese and Arabic corpora). However, if a bilingual term list and parallel corpora are available, CLIR performance can rival monolingual performance. If no parallel corpus is available, pseudo-parallel texts produced by an MT system can partially overcome the lack of parallel text. While stemming is useful normally, with a very large parallel corpus for Arabic-English, stemming hurt performance in our empirical studies with Arabic, a highly inflected language.

Type

a

0.0026849252 = product of:
  0.0053698504 = sum of:
    0.0053698504 = product of:
      0.010739701 = sum of:
        0.010739701 = weight(_text_:a in 2187) [ClassicSimilarity], result of:
          0.010739701 = score(doc=2187,freq=14.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.20223314 = fieldWeight in 2187, product of:
              3.7416575 = tf(freq=14.0), with freq of:
                14.0 = termFreq=14.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046875 = fieldNorm(doc=2187)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

M-CAST which stands for »Multilingual Content Aggregation System based on TRUST Search Engine« is a multilingual indexing and retrieval system based on semantic technology; it allows asking a question in one language and finding an exact answer in digitalized resources in different languages. It can serve as a monolingual query-answering system as well. Presently, we have a prototype of the M-CAST system; it was developed to evaluate both retrieval effectiveness and correctness of the interpretation process and has been tested in real-world situations. Further research will be done to increase the capabilities of the system. The M-CAST question-answering could be applied in both digital and hybrid libraries, because it enables to pose questions using either a set of search terms or natural-language questions. In addition, it enables to narrow a search in advanced search module using UDC (Universal Decimal Classification) system, which is widely used in libraries.

Type

a

0.0026473717 = product of:
  0.0052947435 = sum of:
    0.0052947435 = product of:
      0.010589487 = sum of:
        0.010589487 = weight(_text_:a in 1014) [ClassicSimilarity], result of:
          0.010589487 = score(doc=1014,freq=10.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.19940455 = fieldWeight in 1014, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1014)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Creating an information architecture for a bilingual Web site presents particular challenges beyond those that exist for single and multilanguage sites. This article reports work in progress an the development of a contentbased bilingual Web site to facilitate the sharing of resources and information between Speech and Language Therapists. The development of the information architecture is based an a combination of two aspects: an abstract structural analysis of existing bilingual Web designs focusing an the presentation of bilingual material, and a bilingual card-sorting activity conducted with potential users. Issues for bilingual developments are discussed, and some observations are made regarding the use of card-sorting activities.

Type

a

0.0026473717 = product of:
  0.0052947435 = sum of:
    0.0052947435 = product of:
      0.010589487 = sum of:
        0.010589487 = weight(_text_:a in 1017) [ClassicSimilarity], result of:
          0.010589487 = score(doc=1017,freq=10.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.19940455 = fieldWeight in 1017, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1017)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

This paper presents a laboratory based evaluation study of cross-language information retrieval technologies, utilizing partially parallel test collections, NTCIR-2 (used together with NTCIR-1), where Japanese-English parallel document collections, parallel topic sets and their relevance judgments are available. These enable us to observe and compare monolingual retrieval processes in two languages as well as retrieval across languages. Our experiments focused on (1) the Rosetta stone question (whether a partially parallel collection helps in cross-language information access or not?) and (2) two aspects of retrieval difficulties namely "collection discrepancy" and "query discrepancy". Japanese and English monolingual retrieval systems are combined by dictionary based query translation modules so that a symmetrical bilingual evaluation environment is implemented.

Type

a

0.0026473717 = product of:
  0.0052947435 = sum of:
    0.0052947435 = product of:
      0.010589487 = sum of:
        0.010589487 = weight(_text_:a in 4334) [ClassicSimilarity], result of:
          0.010589487 = score(doc=4334,freq=10.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.19940455 = fieldWeight in 4334, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4334)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

In this paper the following problem is discussed: Which possibilities exist to integrate localized knowledge into knowledge structures like classification systems or other documentary languages for the design of OPACs and information systems? It is proposed to combine a de-localized classificatory structure - best describes as 'ontological spine' - with multilingual semantic networks. Each of these networks should represent the respective localized knowledge along an extended set of typed semantic relations serving as entry points vocabulary as well as a semantic basis for navigational purposes within the localized knowledge context. The spine should enable a link between well-known and not well-known knowledge structures.

Type

a

0.0026202186 = product of:
  0.005240437 = sum of:
    0.005240437 = product of:
      0.010480874 = sum of:
        0.010480874 = weight(_text_:a in 3963) [ClassicSimilarity], result of:
          0.010480874 = score(doc=3963,freq=30.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.19735932 = fieldWeight in 3963, product of:
              5.477226 = tf(freq=30.0), with freq of:
                30.0 = termFreq=30.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.03125 = fieldNorm(doc=3963)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

In this paper the possibilities for a multilingual thesaurus in which not all descriptors in a given language have equivalent descriptors in all other languages and in which the hierarchical structure can have variations in the different languages and a small model of such a thesaurus is given. lt is argued that the searching possibilities that more recent programs for bibliographic databases offer make such non-identical thesauri possible.

Content

"1. Introduction Multilingual and crosslingual access to information is receiving more and more attention. Maybe the most important reason for this development is the Internet. There are estimations that about half of its users are people with a mother tongue other than English and that this proportion is growing. Crosslingual access in this context means the possibility to get free text access to information using another (natural) language than the language of the information itself. This type of access is important for users with a good passive knowledge of a language but with only a small active vocabulary of the same language, e.g. a Englishman who can read Russian, but has difficulties in formulating adequate search request in that language. Crosslingual access can also be valuable for monolingual users who can automatically or manually have translations of foreign language documents. The search requests will be translated or converted into the language of the information. Multilingual access assumes that the instruments used for access, the controlled information languages, are available in more than one language. An classic example is the Englishman who uses his English edition of the Universal Decimal Classification to search the catalogue of a library in China, although the classification of the library is done using a Chinese edition. In this case the searching and the classifying results in a notation that is the same irrespective which language edition was used for indexing. Another possibility is the use of a multilingual thesaurus or subject headings list, such the trilingual edition of the Library of Congress Subject Headings built at the Royal Library in Brussels (Belgium) or the Macrothesaurus of the OECD. Here, words are the access points - in one language into which each search request will be converted, or, alternatively, into all the languages involved. Multilingual information languages and guidelines an how to build them are the subject of this paper. Particular attention will be paid to multilingual thesauri."

Source

Subject retrieval in a networked environment: Proceedings of the IFLA Satellite Meeting held in Dublin, OH, 14-16 August 2001 and sponsored by the IFLA Classification and Indexing Section, the IFLA Information Technology Section and OCLC. Ed.: I.C. McIlwaine

Type

a

0.0025370158 = product of:
  0.0050740317 = sum of:
    0.0050740317 = product of:
      0.010148063 = sum of:
        0.010148063 = weight(_text_:a in 30) [ClassicSimilarity], result of:
          0.010148063 = score(doc=30,freq=18.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.19109234 = fieldWeight in 30, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=30)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The growth in availability of multi-lingual data in all areas of the public and private sector is driving an increasing need for systems that facilitate access to multi-lingual resources. Cross-language Retrieval (CLR) technology is a means of addressing this need. A CLR system must address two main hurdles to effective cross-language retrieval. First, it must address the ambiguity that arises when trying to map the meaning of text across languages. That is, it must address both within-language ambiguity and cross-language ambiguity. Second, it has to incorporate multilingual resources that will enable it to perform the mapping across languages. The difficulty here is that there is a limited number of lexical resources and virtually none for some pairs of languages. This work focuses on a dictionary approach to addressing the problem of limited lexical resources. A dictionary approach is taken since bilingual dictionaries are more prevalent and simpler to apply than other resources. We show that a transitive translation approach, where a third language is employed as an interlingua between the source and target languages, is a viable means of performing CLR between languages for which no bilingual dictionary is available

Type

a

0.0025370158 = product of:
  0.0050740317 = sum of:
    0.0050740317 = product of:
      0.010148063 = sum of:
        0.010148063 = weight(_text_:a in 2748) [ClassicSimilarity], result of:
          0.010148063 = score(doc=2748,freq=18.0), product of:
            0.053105544 = queryWeight, product of:
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.046056706 = queryNorm
            0.19109234 = fieldWeight in 2748, product of:
              4.2426405 = tf(freq=18.0), with freq of:
                18.0 = termFreq=18.0
              1.153047 = idf(docFreq=37942, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2748)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

In this paper we are concerned with the type of services that send periodic news selections to subscribers of a digital newspaper by means of electronic mail. The aims are to study the influence of categorisation in information retrieval and in digital newspapers, different models to solve problems of bilingualism in digital information services and to analyse the evaluation in information filtering and personalisation in information agents. Hermes is a multilingual system for the personalisation of news services which allows integration and categorisation of information in two languages. In order to customise information for each user, Hermes provides the means for representing a user interests homogeneously across the operating languages of the system. A simple system is applied to train automatically a dynamic news item classifier for both languages, by taking the Yahoo set of categories as reference framework and using the web pages classified under them as training collection. Traditional evaluation methods have been applied and their shortcomings for the present endeavour have been noted.

Type

a