Predicting Lexical Priming Effects from Distributional Semantic Similarities: A Replication with Extension.

ABSTRACT: In two experiments, we attempted to replicate and extend findings by Günther et al. (2016) that word similarity measures obtained from distributional semantics models-Latent Semantic Analysis (LSA) and Hyperspace Analog to Language (HAL)-predict lexical priming effects. To this end, we used the pseudo-random method to generate item material while systematically controlling for word similarities introduced by Günther et al. (2016) which was based on LSA cosine similarities (Experiment 1) and HAL cosine similarities (Experiment 2). Extending the original study, we used semantic spaces created from far larger corpora, and implemented several additional methodological improvements. In Experiment 1, we only found a significant effect of HAL cosines on lexical decision times, while we found sign

SUBMITTER: Gunther F 

PROVIDER: S-EPMC5076462 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature