Search (64 results, page 1 of 4)

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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

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Abstract

A study group representing four European national libraries (the Swiss National Library, Die Deutsche Bibliothek, the Bibliothèque nationale de France and The British Library) recently conducted a study on the possibility of establishing multilingual thesaural links between the headings in the LCSH authority file and the authority files of the German indexing system SWD/RSWK and the French indexing system RAMEAU. The study demonstrated a high level of correspondence in main headings, but also revealed a number of issues requiring further investigation. The study group's findings led to recommendations on the scope for the development of a prototype system for linking the three Subject Heading Languages (SHLs) in the databases of the four institutions

Date

27. 5.2001 16:22:10

Series

Cataloging and classification quarterly; vol.29, nos.1/2

Source

The LCSH century: one hundred years with the Library of Congress Subject Headings system. Ed.: A.T.Stone

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Abstract

Is Cross-Language answer finding harder than Monolingual answer finding for users? In this paper we provide initial quantitative and qualitative evidence to answer this question. In our study, which involves 16 users searching questions under four different system conditions, we find that interactive cross-language answer finding is not substantially harder (in terms of accuracy) than its monolingual counterpart, using general purpose Machine Translation systems and standard Information Retrieval machinery, although it takes more time. We have also seen that users need more context to provide accurate answers (full documents) than what is usually considered by systems (paragraphs or passages). Finally, we also discuss the limitations of standard evaluation methodologies for interactive Information Retrieval experiments in the case of cross-language question answering.

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Abstract

Out of vocabulary words, mostly proper nouns and technical terms, are one main source of performance degradation in Cross Language Information Retrieval (CLIR) systems. Those are words not found in the dictionary. Bilingual dictionaries in general do not cover most proper nouns, which are usually primary keys in the query. As they are spelling variants of each other in most languages, using an approximate string matching technique against the target database index is the common approach taken to find the target language correspondents of the original query key. N-gram technique proved to be the most effective among other string matching techniques. The issue arises when the languages dealt with have different alphabets. Transliteration is then applied based on phonetic similarities between the languages involved. In this study, both transliteration and the n-gram technique are combined to generate possible transliterations in an English-Arabic CLIR system. We refer to this technique as Transliteration N-Gram (TNG). We further enhance TNG by applying Part Of Speech disambiguation on the set of transliterations so that words with a similar spelling, but a different meaning, are excluded. Experimental results show that TNG gives promising results, and enhanced TNG further improves performance.

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Abstract

Before speaking about authority control in a multilingual environment, it is necessary to describe briefly the context in which this control is carried out. The electronic catalogue of the Russian State Library (RSL) contains more than 3 million records. Cataloguing with the use of the Aleph software and ??RC 21 has been carried out for this database since 2003. Other bibliographic records included in the electronic catalogue are received as a result of converting (1) bibliographic records from card catalogues, and (2) the bibliographic records created by RSL and other organizations with the use of other software and other formats. Up to 2003 the electronic catalogue included only records in Russian and in European languages. In 2003 we started cataloguing books and serials in the languages of the peoples of the Russian Federation and former union republics of the USSR. This year we are preparing for the description of documents in oriental languages. This "motley world" demands ordering and normalization of access points. Until 2003, two authority files were maintained in the RSL: the foreign and international organizations file and a file of "authors of special categories." Authority records were created in a format based on USMARC. In 2003 the authority control group was reorganized and its function widened. Now we are supposed to carry out the authority control of headings (controlled access points) in new bibliographic records by formation of authority records for these categories: - Names of persons, creators or objects of the work translated to Russian from other languages when in the document there is an original form of the name - Names of persons in which the forms of the names on the document differ from the form established for the system of catalogues at RSL - Such names of persons, as "authors of special categories" - Names of corporate bodies, Russian, foreign or international (creators or objects of the work), occurring in the system for the first time - Names of the corporate bodies, Russian, foreign or international reflected in authority records (machine-readable and traditional) if the form of the name on the document differs from the form established for the system of catalogues at RSL - The uniform titles of the Bible and its parts, anonymous classical works

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Abstract

Introduction Multilingualism has long been an issue that have been discussed and debated at ELAG conferences. Members of ELAG have generally considered the role of automation as an important factor in the development of multilingual subject access solutions. It is quite fitting that in the context of this year's theme of "Cross language applications and the web" that the latest development of the MACS project be presented. As the title indicates, this presentation will focus an the latest development of the Link management Interface (LMI) which is the pivotal tool of the MACS multilingual subject access solution. It will update the presentation given by Genevieve ClavelMerrin at last year's ELAG 2002 Conference in Rome. That presentation gave a thorough description of the work that had been undertaken since 1997. In particular, G. Clavel-Merrin described the development of the MACS prototype in which the mechanisms for the establishment and management of links between subject heading languages (SHLs) and the user search interface had been implemented.
Conclusion After a few years of design work and testing, it now appears that the MACS project is almost ready to move to production. The latest LMI release has shown that it can be used in a federated work network and that it is robust enough to manage many thousands of links. Once in the production phase, consideration should be given to extend MACS to other SHLs in other languages. There is still a great interest from other CENL members to participate in this project and the consortium structure will need to be finalised in order to incorporate gradually and successfully new partners in the MACS system. Work will also continue to improve the Search Interface (SI) before it can be successfully integrated in each of the partners OPAC. In this context, some form of access to the local authority files should be investigated so that users can select the most appropriate heading within each subject hierarchies before sending their search to the different target databases. Testing of Z39.50 access to the partners' library catalogues will also continue to further refine search results. The long range prospect of the MACS initiative will have to be addressed in the foreseeable future. Financial as well as institutional support will need to be reinforced and possibly new types of partnership identified. As the need to improve subject access continues to be an issue for many European national libraries, MACS will hopefully remain a viable tool for ensuring cross-language access. One of the potential targets is the TEL project. Within the scope of that initiative, is it possible and useful to envisage the integration of MACS in TEL as an additional access point? It is worth stating the question in light of the challenge to European national libraries to offer improved access to their collections.

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Abstract

The existence of huge amounts of information available in information systems and networks worldwide imposes the creation of adequate tools able to efficiently organize it and allow its retrieval across geographical, linguistic and cultural boundaries. An indexing language covering all areas of knowledge and converting the language-independent structure of a classification system like the Universal Decimal Classification into a thesaurus structure in more than one language seems to be a solution. Among the key attributes of the indexing language thus obtained we can mention: consistency in indexing, control an terms, user-friendliness. The paper presents the great potential in information retrieval of the combined retrieval method by means of a case study. 1. Introduction Among the consequences of the rapid development of the global information society a major one is the existence of huge amounts of information stored in information systems and networks across geographical, linguistic and cultural boundaries. The need was imposed to create tools and technologies able to efficiently organize and allow retrieval of information in this universal context. Information professionals had to cope not only with the multitude of knowledge organisation and representation systems but also with the multitude of languages the available information is stored in order to provide the users with effective information retrieval tools. For this purpose a real language industry has been developed, theoreticians and researchers making considerable efforts to find feasible solutions to problems of multilingual access by way of natural language processing and machine translation methodologies. Such corporate efforts belong to the CoBRA+ working group for multilingual access to subjects (MACS) or to the cross-language information retrieval (CLIR) tracks of the Text Retrieval Conferences that annually report the progress made in multilingual information access and retrieval. The encouraging results they have obtained so far are still confined to discipline/domain restrictions and most of their achievements are based an language pairs rather than multiple language combinations.

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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

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Abstract

For many years, the Web became an important media for the diffusion of multilingual resources. Linguistic differenees still form a major obstacle to scientific, cultural, and educational exchange. Besides this linguistic diversity, a multitude of databases and collections now contain documents in various formats, which may also adversely affect the retrieval process. This paper describes a research project aiming to verify the existing relations between two indexing approaches: traditional image indexing recommending the use of controlled vocabularies or free image indexing using uncontrolled vocabulary, and their respective performance for image retrieval, in a multilingual context. This research also compares image retrieval within two contexts: a monolingual context where the language of the query is the same as the indexing language; and a multilingual context where the language of the query is different from the indexing language. This research will indicate whether one of these indexing approaches surpasses the other, in terms of effectiveness, efficiency, and satisfaction of the image searchers. This paper presents the context and the problem statement of the research project. The experiment carried out is also described, as well as the data collection methods

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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

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Abstract

Alexandria is an innovation of international impact. It is the only multilingual dictionary for websites and PCs. A double click on a word opens a small window that gives interactive translations between 22 languages and includes meaning, synonyms and associated expressions. It is an ASP application grounded on a semantic network that is portable on any operating system or platform. Behind the application is the Integral Dictionary is the semantic network created by Memodata. Alexandria can be customized with specific vocabulary, descriptive articles, images, sounds, videos, etc. Its domains of application are considerable: e-tourism, online medias, language learning, international websites. Alexandria has also proved to be a basic tool for knowledge management purposes. The application can be customized according to a user or an organization needs. An application dedicated to mobile devices is currently being developed. Future developments are planned in the field of e-tourism in relation with French "pôles de compétitivité".

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Abstract

Many operational IR indexes are non-normalized, i.e. no lemmatization or stemming techniques, etc. have been employed in indexing. This poses a challenge for dictionary-based cross-language retrieval (CLIR), because translations are mostly lemmas. In this study, we face the challenge of dictionary-based CLIR in a non-normalized index. We test two optional approaches: FCG (Frequent Case Generation) and s-gramming. The idea of FCG is to automatically generate the most frequent inflected forms for a given lemma. FCG has been tested in monolingual retrieval and has been shown to be a good method for inflected retrieval, especially for highly inflected languages. S-gramming is an approximate string matching technique (an extension of n-gramming). The language pairs in our tests were English-Finnish, English-Swedish, Swedish-Finnish and Finnish-Swedish. Both our approaches performed quite well, but the results varied depending on the language pair. S-gramming and FCG performed quite equally in all the other language pairs except Finnish-Swedish, where s-gramming outperformed FCG.

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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.

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Abstract

We develop a context-based generic cross-lingual retrieval model that can deal with different language pairs. Our model considers contexts in the query translation process. Contexts in the query as weIl as in the documents based an co-occurrence statistics from different granularity of passages are exploited. We also investigate cross-lingual retrieval of automatic generic summaries. We have implemented our model for two different cross-lingual settings, namely, retrieving Chinese documents from English queries as weIl as retrieving English documents from Chinese queries. Extensive experiments have been conducted an a large-scale parallel corpus enabling studies an retrieval performance for two different cross-lingual settings of full-length documents as weIl as automated summaries.

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Abstract

This poster explores the customization of DSpace to allow the use of the AGRIS Application Profile metadata standard and the AGROVOC thesaurus. The objective is the adaptation of DSpace, through the least invasive code changes either in the form of plug-ins or add-ons, to the specific needs of the Agricultural Sciences and Technology community. Metadata standards such as AGRIS AP, and Knowledge Organization Systems such as the AGROVOC thesaurus, provide mechanisms for sharing information in a standardized manner by recommending the use of common semantics and interoperable syntax (Subirats et al., 2007). AGRIS AP was created to enhance the description, exchange and subsequent retrieval of agricultural Document-like Information Objects (DLIOs). It is a metadata schema which draws from Metadata standards such as Dublin Core (DC), the Australian Government Locator Service Metadata (AGLS) and the Agricultural Metadata Element Set (AgMES) namespaces. It allows sharing of information across dispersed bibliographic systems (FAO, 2005). AGROVOC68 is a multilingual structured thesaurus covering agricultural and related domains. Its main role is to standardize the indexing process in order to make searching simpler and more efficient. AGROVOC is developed by FAO (Lauser et al., 2006). The customization of the DSpace is taking place in several phases. First, the AGRIS AP metadata schema was mapped onto the metadata DSpace model, with several enhancements implemented to support AGRIS AP elements. Next, AGROVOC will be integrated as a controlled vocabulary accessed through a local SKOS or OWL file. Eventually the system will be configurable to access AGROVOC through local files or remotely via webservices. Finally, spell checking and tooltips will be incorporated in the user interface to support metadata editing. Adapting DSpace to support AGRIS AP and annotation using the semantically-rich AGROVOC thesaurus transform DSpace into a powerful, domain-specific system for annotation and exchange of bibliographic metadata in the agricultural domain.

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

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Abstract

This entry describes the process by which systems can be designed to help users find content in a language that may be different from the language of their query. The discussion of the relatively narrowly construed technical issues that are often referred to as Cross-Language Information Retrieval (CLIR) is situated in the context of important related issues such as information-seeking behavior, interaction design, and machine translation.

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Abstract

For historical and cultural reasons, English phrases, especially proper nouns and new words, frequently appear in Web pages written primarily in East Asian languages such as Chinese, Korean, and Japanese. Although such English terms and their equivalences in these East Asian languages refer to the same concept, they are often erroneously treated as independent index units in traditional Information Retrieval (IR). This paper describes the degree to which the problem arises in IR and proposes a novel technique to solve it. Our method first extracts English terms from native Web documents in an East Asian language, and then unifies the extracted terms and their equivalences in the native language as one index unit. For Cross-Language Information Retrieval (CLIR), one of the major hindrances to achieving retrieval performance at the level of Mono-Lingual Information Retrieval (MLIR) is the translation of terms in search queries which can not be found in a bilingual dictionary. The Web mining approach proposed in this paper for concept unification of terms in different languages can also be applied to solve this well-known challenge in CLIR. Experimental results based on NTCIR and KT-Set test collections show that the high translation precision of our approach greatly improves performance of both Mono-Lingual and Cross-Language Information Retrieval.

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Abstract

In this article the authors present Eurovision, a textbased system for cross-language (CL) image retrieval. The system is evaluated by multilingual users for two search tasks with the system configured in English and five other languages. To the authors' knowledge, this is the first published set of user experiments for CL image retrieval. They show that (a) it is possible to create a usable multilingual search engine using little knowledge of any language other than English, (b) categorizing images assists the user's search, and (c) there are differences in the way users search between the proposed search tasks. Based on the two search tasks and user feedback, they describe important aspects of any CL image retrieval system.