Aleksandr Nisnevich and David Hall and Daniel Klein

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2015-36

May 1, 2015

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2015/EECS-2015-36.pdf

We present a new model of semantic change that traces the evolution of a word's meaning through a phylogeny. By mapping meaning changes to WordNet paths, we are able to identify common kinds of semantic change. We find optimal weights for our model using expectation-maximization (EM), and use the results to conjecture about the relative frequency of different kinds of semantic change.

Advisors: Daniel Klein

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BibTeX citation:

@mastersthesis{Nisnevich:EECS-2015-36,
    Author= {Nisnevich, Aleksandr and Hall, David and Klein, Daniel},
    Title= {Probabilistically Modeling Semantic Change},
    School= {EECS Department, University of California, Berkeley},
    Year= {2015},
    Month= {May},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2015/EECS-2015-36.html},
    Number= {UCB/EECS-2015-36},
    Abstract= {We present a new model of semantic change that
traces the evolution of a word's meaning through a phylogeny. By mapping meaning changes to WordNet paths, we are able to identify common kinds of semantic change. We find optimal weights for our model using expectation-maximization (EM), and use the results to conjecture about the relative frequency of different kinds of semantic change.},
}

EndNote citation:

%0 Thesis
%A Nisnevich, Aleksandr 
%A Hall, David 
%A Klein, Daniel 
%T Probabilistically Modeling Semantic Change
%I EECS Department, University of California, Berkeley
%D 2015
%8 May 1
%@ UCB/EECS-2015-36
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2015/EECS-2015-36.html
%F Nisnevich:EECS-2015-36