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  • × author_ss:"Chan, K."
  1. Liu, M.; Kwok, L.; Chan, K.: Why change to the Chinese Classification Scheme? : a case study in an academic library (2012) 0.00 
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    Abstract
    This article provides a background for the change of the classification system for Chinese language materials at an academic library. It describes how the decision was made; how choices on partial reclassification or total reclassification were made; and how matters such as project planning, implementation, and vision for the future are being handled. It is hoped that the authors' experience can offer tips for other libraries contemplating reclassification projects. By making use of the Chinese Library Classification (CLC) numbers from various sources in Mainland China, the authors envisage increased cataloging efficiency and cost saving in the long run.
    Type
    a
  2. Chan, K.; Hirons, J.: From AACR revisions to CONSER'S SCCTP : an interview with Jean Hirons (2001) 0.00 
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    Abstract
    Jean Hirons, CONSER Coordinator, Library of Congress, discusses her career in serials cataloging and control. Topics include the revision of AACR concerning seriality and treatment of continuing resources, Hirons' critical role in this process, and the roles of other individuals and of CONSER task forces; harmonization of AACR proposed revisions with ISBD/S and ISSN standards and practices; changes in CONSER's governance; the continuing development of CONSER's Serials Cataloging Cooperative Training Program (SCCTP); the creation of a publication pattern database; and CONSER's future.
    Type
    a
  3. Lam, W.; Chan, K.; Radev, D.; Saggion, H.; Teufel, S.: Context-based generic cross-lingual retrieval of documents and automated summaries (2005) 0.00 
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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.
    Type
    a

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