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In this paper, we propose an unsupervised method to identify noun sense changes based on rigorous analysis of time-varying text data available in the form of millions of digitized books. We construct distributional thesauri based networks from data a
Externí odkaz:
http://arxiv.org/abs/1405.4392
Publikováno v:
Advances in Astronautics Science and Technology; June 2021, Vol. 4 Issue: 1 p27-37, 11p
Akademický článek
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Autor:
Hilpert, Martin
Publikováno v:
Corpus Linguistics & Linguistic Theory; Oct2024, Vol. 20 Issue 3, p481-504, 24p
Publikováno v:
Cognitive Linguistics; Aug2023, Vol. 34 Issue 3/4, p533-568, 36p
Autor:
Verheul, Jaap, Salmi, Hannu, Riedl, Martin, Nivala, Asko, Viola, Lorella, Keck, Jana, Bell, Emily
Publikováno v:
DHQ: Digital Humanities Quarterly; 2022, Vol. 16 Issue 2, pN.PAG-N.PAG, 1p
Semantic change — how the meanings of words change over time — has preoccupied scholars since well before modern linguistics emerged in the late 19th and early 20th century, ushering in a new methodological turn in the study of language change.
Autor:
Alessandro Lenci, Magnus Sahlgren
Distributional semantics develops theories and methods to represent the meaning of natural language expressions, with vectors encoding their statistical distribution in linguistic contexts. It is at once a theoretical model to express meaning, a prac