Improving Dictionaries by Measuring Atypical Relative Word-form Frequencies

• Kristian Blensenius ^[1] ; Monica von Martens ^[1]
  1. [1] University of Gothenburg

     University of Gothenburg

     Suecia

     
• Localización: Electronic lexicography in the 21st century. Proceedings of the eLex 2019 conference. 1-3 October 2019, Sintra, Portugal / Iztok Kosem (ed. lit.), Tanara Zingano Kuhn (ed. lit.), Margarita Correia (ed. lit.), José Pedro Ferreira (ed. lit.), Maarten Jansen (ed. lit.), Isabel Pereira (ed. lit.), Jelena Kallas (ed. lit.), Miloš Jakubíček (ed. lit.), Simon Krek (ed. lit.), Carole Tiberius (ed. lit.), 2019, págs. 660-675
• Idioma: inglés
• Enlaces
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• Resumen

  • In this article, we discuss and give examples of how word-form frequency information derived from existing corpora statistics can be used to improve dictionary content. The frequency information is used in combination with rule-based morphological data based on derivational and inflectional information from the Swedish Morphological Database compiled at the University of Gothenburg, and the lexical database owned by the Swedish Academy. The method currently used in the ongoing project for updating the monolingual Contemporary Dictionary of the Swedish Academy is described, and some examples of dictionary entries identified as candidates for update based on frequency measures are given. Different aspects of morphological dictionary content are discussed and highlighted by comparison between the above-mentioned definition dictionary and a learner’s dictionary. The role of headword or lemma as well as cross-referencing methods in a digital dictionary as compared to a printed dictionary is also discussed. Finally, a few examples of suggested modifications and enhancements are given.