Valence, Arousal and Concreteness Mediate Word Association

Area of Science:

• Psycholinguistics
• Computational Linguistics
• Cognitive Science

Background:

• Lexical properties like valence, arousal, and concreteness significantly impact language processing.
• Computational methods successfully extract these lexical features from word association data.
• Valence, arousal, and concreteness are hypothesized to be critical mediators in word association.

Purpose of the Study:

• To investigate if valence, arousal, and concreteness mediate word association.
• To determine if lexical properties of cue words predict those of associate words.
• To test this hypothesis across multiple languages.

Main Methods:

• Paired cue and associate words from three databases in three languages.
• Collected valence, arousal, and concreteness values for these words.
• Conducted linear regression analyses to predict associate scores from cue scores.

Main Results:

• Cue word scores strongly predicted associate word scores across all three dimensions (valence, arousal, concreteness).
• More strongly associated words exhibited more similar scores in these dimensions.
• Findings were consistent across the different languages studied.

Conclusions:

• Word association processes are significantly mediated by valence, arousal, and concreteness.
• These lexical properties provide predictable links between associated words.
• The study demonstrates cross-linguistic evidence for the role of these dimensions in word association.