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Publication Date:
19 08 2011
ISSN:
1613-7035
DOI:
10.1515/cllt.2011.012

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Editor-in-Chief: Gries, Stefan Th.

2 Issues per year

IMPACT FACTOR 2010: 0.600
ERIH category 2011: INT2

Asymmetry in corpus-derived and human word associations

1Assistant professor (Juniorprofessor) for Computational Linguistics at the Institute of Cognitive Science, University of Osnabrück, Germany.

2Professor at the Institute for Natural Language Processing at the University of Stuttgart and heads the Statistical Natural Language Processing group.

Citation Information: Corpus Linguistics and Linguistic Theory. Volume 7, Issue 2, Pages 245–276, ISSN (Online) 1613-7035, ISSN (Print) 1613-7027, DOI: 10.1515/cllt.2011.012, August 2011

Publication History: Published Online: 26/02/2012

Abstract

We investigate asymmetry in corpus-derived and human word associations. Most prior work has studied paradigmatic relations, either derived from free association norms or from large corpora using measures of statistical association and semantic relatedness. By contrast, we investigate the syntagmatic relation between words in adjective-noun and noun-noun combinations and present a new experimental design for measuring the strength of human associations. Of particular importance for syntagmatic relations are asymmetric associations, whose associational strength is much larger in one direction (e.g., from Pyrrhic to victory) than in the other (e.g., from victory to Pyrrhic). We develop a number of corpus-derived measures of asymmetric association and show that they predict the directedness of human associations with high accuracy.

Keywords:: association measures ; asymmetry ; paradigmatic and syntagmatic associations ; corpus-based ; elicitation experiment ; association norms

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