Predicting Lexical Priming Effects from Distributional Semantic Similarities: A Replication with Extension (original) (raw)
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Latent semantic analysis cosines as a cognitive similarity measure: Evidence from priming studies
Quarterly Journal of Experimental Psychology, 2015
In distributional semantics models (DSMs) such as latent semantic analysis (LSA), words are represented as vectors in a high-dimensional vector space. This allows for computing word similarities as the cosine of the angle between two such vectors. In two experiments, we investigated whether LSA cosine similarities predict priming effects, in that higher cosine similarities are associated with shorter reaction times (RTs). Critically, we applied a pseudo-random procedure in generating the item material to ensure that we directly manipulated LSA cosines as an independent variable. We employed two lexical priming experiments with lexical decision tasks (LDTs). In Experiment 1 we presented participants with 200 different prime words, each paired with one unique target. We found a significant effect of cosine similarities on RTs. The same was true for Experiment 2, where we reversed the prime-target order (primes of Experiment 1 were targets in Experiment 2, and vice versa). The results ...
Uncovering underlying processes of semantic priming by correlating item-level effects
The current study examines the underlying processes of semantic priming using the largest priming database available (i.e., Semantic Priming Project, Hutchison et al. Behavior Research Methods, 45(4), 1099–1114, 2013). Specifically , it compares priming effects in two tasks: lexical decision and pronunciation. Task similarities were assessed at two different stimulus onset asynchronies (SOAs) (i.e., 200 and 1,200 ms) and for both primary and other associates. To evaluate how consistent priming is across these two tasks, item-level priming effects obtained in each task were correlated for each condition separately. The results revealed significant correlations at the short SOA for both primary and other associates. The correlations at the long SOA were significantly smaller and only reached significance when z-transformed response times were used. Furthermore, this pattern remained essentially the same when only asymmetric forward associates (e.g., panda-bear) were considered, suggesting that the cross-task stability at the short SOA was not merely caused by retrospective processes such as semantic matching. Instead, these findings provide evidence for a rapidly operating, item-based, relational characteristic such as spreading activation.
Evaluating Neighbor Rank and Distance Measures as Predictors of Semantic Priming
This paper summarizes the results of a large-scale evaluation study of bag-ofwords distributional models on behavioral data from three semantic priming experiments. The tasks at issue are (i) identification of consistent primes based on their semantic relatedness to the target and (ii) correlation of semantic relatedness with latency times. We also provide an evaluation of the impact of specific model parameters on the prediction of priming. To the best of our knowledge, this is the first systematic evaluation of a wide range of DSM parameters in all possible combinations. An important result of the study is that neighbor rank performs better than distance measures in predicting semantic priming.
The long and short of semantic priming effects in lexical decision
Journal of Experimental Psychology: Learning, Memory and Cognition, 1997
described a theory of priming that predicts long-term effects for all forms of relatedness. This prediction is reconciled with previous failures to observe long-term semantic priming on the basis of 2 claims: (a) that previously used pairs share few semantic features and (b) that tasks typically used to study priming are not especially sensitive to semantic influences. The present experiments provide further support for these claims by demonstrating long-term semantic priming in the lexical-decision task when the stimuli and task are modified in a way that increases semantic involvement. However, the findings suggest that in addition to the mechanism advocated by Becker et al., a second mechanism is necessary to provide a complete account of semantic priming effects. Meyer and Schvaneveldt (1971) introduced the lexicaldecision task as a tool for learning more about the processes and mechanisms underlying semantic memory. In its original form, the task consisted of two letter strings simultaneously presented, with participants instructed to press one key if both stimuli were words, and another key if one or both of the stimuli were nonwords. Findings from that task indicated that correct "word** responses could be emitted faster if the stimuli consisted of a pair of semantically related words (e.g., sky-cloud) than if the stimuli consisted of apair of semantically unrelated words (e.g., car-cloud). This phenomenon is called semantic priming. In follow-up work, Meyer, Schvaneveldt, and Ruddy (1972) discovered two other facts about semantic priming. The first was that the priming observed in the original study was also observed with a procedure in which participants had to judge the lexical status of a single item that either was or was not preceded by a semantically related associate. The second discovery was that the magnitude of the semantic priming effect was strongly affected if items were presented between the prime and target. In their experiment, they found that the strong semantic priming effect observed when the prime and target were presented consecutively became
Measuring the Semantic Priming Effect Across Many Languages
2021
Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. These studies provide insight into the cognitive underpinnings of semantic representations in both healthy and clinical populations; however, they have suffered from several issues including generally low sample sizes and a lack of diversity in linguistic implementations. Here, we will test the size and the variability of the semantic priming effect across ten languages by creating a large database of semantic priming values, based on an adaptive sampling procedure. Differences in response latencies between related word-pair conditions and unrelated word-pair conditions (i.e., difference score confidence interval is greater than zero) will allow quantifying evidence for semantic priming, whereas improvements in model fit with the addition of a random intercept for language will provide support for variability in semantic priming across languages.
Different influences on lexical priming for integrative, thematic, and taxonomic relations
Frontiers in Human Neuroscience, 2012
Word pairs may be integrative (i.e., combination of two concepts into one meaningful entity; e.g., fruit-cake), thematically related (i.e., connected in time and place; e.g., party-cake), and/or taxonomically related (i.e., shared features and category co-members; e.g., muffin-cake). Using participant ratings and computational measures, we demonstrated distinct patterns across measures of similarity and co-occurrence, and familiarity for each relational construct in two different item sets. In a standard lexical decision task (LDT) with various delays between prime and target presentation (SOAs), target RTs and priming magnitudes were consistent across the three relations for both item sets. However, across the SOAs, there were distinct patterns among the three relations on some of the underlying measures influencing target word recognition (LSA, Google, and BEAGLE). These distinct patterns suggest different mechanisms of lexical priming and further demonstrate that integrative relations are distinct from thematic and taxonomic relations.
Journal of Memory and Language, 2009
Word frequency and semantic priming effects are among the most robust effects in visual word recognition, and it has been generally assumed that these two variables produce interactive effects in lexical decision performance, with larger priming effects for low-frequency targets. The results from four lexical decision experiments indicate that the joint effects of semantic priming and word frequency are critically dependent upon differences in the vocabulary knowledge of the participants. Specifically, across two Universities, additive effects of the two variables were observed in means, and in RT distributional analyses, in participants with more vocabulary knowledge, while interactive effects were observed in participants with less vocabulary knowledge. These results are discussed with reference to . Visual word recognition: A multistage activation model. Journal of Experimental Psychology: Learning, Memory, and Cognition, 19, 813-840] multistage account and [Plaut, D. C., & Booth, J. R. (2000). Individual and developmental differences in semantic priming: Empirical and computational support for a single-mechanism account of lexical processing. Psychological Review, 107, 786-823] singlemechanism model. In general, the findings are also consistent with a flexible lexical processing system that optimizes performance based on processing fluency and task demands.