VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Distributional modelling for semantic shift detection
    Fišer, Darja, 1978- ; Ljubešić, Nikola, 1979-
    This paper gives an overview of distributional modelling of word meaning for contemporary lexicography. We also apply it in a case study on automatic semantic shift detection in Slovene tweets. We ... use word embeddings to compare the semantic behaviour of frequent words from a reference corpus of Slovene with their behaviour on Twitter. Words with the highest model distance between the corpora are considered as semantic shift candidates. They are manually analysed and classified in order to evaluate the proposed approach as well as to gain a better qualitative understanding of the problem. Apart from the noise due to pre-processing errors (45%), the approach yields a lot of valuable candidates, especially the novel senses occurring due to daily events and the ones produced in informal communication settings.
    Vir: International journal of lexicography. - ISSN 0950-3846 (Vol. 32, no. 2, June 2019, str. 163-183)
    Vrsta gradiva - članek, sestavni del ; neleposlovje za odrasle
    Leto - 2019
    Jezik - angleški
    COBISS.SI-ID - 67380066