Title: Clustering for Semantic Purposes: Exploration of Semantic Similarity in a Technical Corpus
Authors: Bertels, Ann ×
Speelman, Dirk #
Issue Date: 2014
Publisher: John Benjamins Publishing Co.
Series Title: Terminology vol:20 issue:2 pages:279-303
Abstract: This paper presents an innovative approach, within the framework of distributional
semantics, for the exploration of semantic similarity in a technical corpus.
In complement to a previous quantitative semantic analysis conducted in the
same domain of machining terminology, this paper sets out to discover finegrained
semantic distinctions in an attempt to explore the semantic heterogeneity
of a number of technical items. Multidimensional scaling analysis (MDS)
was carried out in order to cluster first-order co-occurrences of a technical node
with respect to shared second-order and third-order co-occurrences. By taking
into account the association values between relevant first and second-order
co-occurrences, semantic similarities and dissimilarities between first-order
co-occurrences could be determined, as well as proximities and distances on a
graph. In our discussion of the methodology and results of statistical clustering
techniques for semantic purposes, we pay special attention to the linguistic and
terminological interpretation.
ISSN: 0929-9971
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Leuven Language Institute (ILT)
Quantitative Lexicology and Variational Linguistics (QLVL), Leuven
× corresponding author
# (joint) last author

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