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Speech, Language and Hearing

Publication date: 2018-01-01
Volume: 21 Pages: 69 - 72
Publisher: Taylor & Francis Online

Author:

Bertels, Ann

Keywords:

Science & Technology, Life Sciences & Biomedicine, Audiology & Speech-Language Pathology, Distributional semantics, multidimensional scaling (MDS), semantic similarity, second-order and third-order cooccurrences

Abstract:

© 2017 Informa UK Limited, trading as Taylor & Francis Group. This paper presents the methodology of a distributional analysis for the exploration of semantic similarity in a small technical corpus. The aim is to show the semantic issues at stake in a series of statistical experiments. First-order co-occurrences of a technical node are clustered based on shared-order second and third-order co-occurrences and on the respective association strength. The results of the statistical clustering techniques show semantic similarities and dissimilarities between first-order co-occurrences by means of proximities and distances on 2D-plots and 3D-plots. By fine-tuning the statistical analysis and by using enriched distributional data, we aim at achieving more revealing semantic interpretations.