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  • × theme_ss:"Computerlinguistik"
  • × theme_ss:"Formalerschließung"
  1. Morris, V.: Automated language identification of bibliographic resources (2020) 0.02 
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    Abstract
    This article describes experiments in the use of machine learning techniques at the British Library to assign language codes to catalog records, in order to provide information about the language of content of the resources described. In the first phase of the project, language codes were assigned to 1.15 million records with 99.7% confidence. The automated language identification tools developed will be used to contribute to future enhancement of over 4 million legacy records.
    Date
    2. 3.2020 19:04:22
  2. Corbara, S.; Moreo, A.; Sebastiani, F.: Syllabic quantity patterns as rhythmic features for Latin authorship attribution (2023) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.1, S.128-141

Authors