Word associations: Norms for 1,424 Dutch words in a continuous task

This study describes the collection of a large set of word association norms. In a continuous word association task, norms for 1,424 Dutch words were gathered. For each cue, three association responses were obtained per participant. In total, an average of 268 responses were collected for each cue. We investigated the relationship with similar procedures, such as discrete association tasks and exemplar generation tasks. The results show that the use of a continuous task allows the study of weaker associations in comparison with a discrete task. The effects of the continuous tasks were investigated for set size and the availability characteristics of the responses, measured through word frequency, age of acquisition, and imageability. Finally, we compared our findings to those of a semantically constrained version of the association task in which participants generated responses within the domain of a semantic category. Results of this comparison are discussed. The Appendix cited in this article is available at www.psychonomic.org/archive.     

Application of Latent Semantic Analysis to Divergent Thinking is Biased by Elaboration

Scoring divergent‐thinking response sets has always been challenging because such responses are not only open‐ended in terms of number of ideas, but each idea may also be expressed by a varying number of concepts and, thus, by a varying number of words (elaboration). While many current studies have attempted to score the semantic distance in divergent‐thinking responses by applying latent semantic analysis (LSA), it is known from other areas of research that LSA‐based approaches are biased according to the number of words in a response. Thus, the current article aimed to identify and demonstrate this elaboration bias in LSA‐based divergent‐thinking scores by means of a simulation. In addition, we show that this elaboration bias can be reduced by removing the stop words (for example, and, or, for and so forth) prior to analysis. Furthermore, the residual bias after stop word removal can be reduced by simulation‐based corrections. Finally, we give an empirical illustration for alternate uses and consequences tasks. Results suggest that when both stop word removal and simulation‐based bias correction are applied, convergent validity should be expected to be highest.     

Testing the associative-link hypothesis in immediate serial recall: Evidence from word frequency and word imageability effects

Two immediate serial recall experiments were conducted to test the associative-link hypothesis (Stuart & Hulme, 2000). We manipulated interitem association by varying the intralist latent semantic analysis (LSA) cosines in our 7-item study word lists, each of which consists of high- or low-frequency words in Experiment 1 and high- or low-imageability words in Experiment 2. Whether item recall performance was scored by a serial-recall or free-recall criterion, we found main effects of interitem association, word imageability, and word frequency. The effect of interitem association also interacted with the word frequency effect, but not with the word imageability effect. The LSA-cosinexword frequency interaction occurred in the recency, but not primacy, portion of the serial position curve. The present findings set explanatory boundaries for the associative-link hypothesis and we argue that both item- and associative-based mechanisms are necessary to account for the word frequency effect in immediate serial recall.     

Large-scale latent semantic analysis

Latent semantic analysis (LSA) is a statistical technique for representing word meaning that has been widely used for making semantic similarity judgments between words, sentences, and documents. In order to perform an LSA analysis, an LSA space is created in a two-stage procedure, involving the construction of a word frequency matrix and the dimensionality reduction of that matrix through singular value decomposition (SVD). This article presents LANSE, an SVD algorithm specifically designed for LSA, which allows extremely large matrices to be processed using off-the-shelf computer hardware.     

Testing the theory of embodied cognition with subliminal words

In the current study, we tested the embodied cognition theory (ECT). The ECT postulates mandatory sensorimotor processing of words when accessing their meaning. We test that prediction by investigating whether invisible (i.e., subliminal) spatial words activate responses based on their long-term and short-term meaning. Masking of the words is used to prevent word visibility and intentional elaboration of the words’ semantic content. In this way, masking specifically isolates mandatory sensorimotor processing of words as predicted by the ECT. Do spatial subliminal words activate responses nonetheless? In Experiment 1, we demonstrate a spatial congruence effect of the invisible words if they precede visible target words. In Experiment 2, we show that masked words activate responses based on their long-term meaning. In Experiment 3, we demonstrate that masked words are also processed according to their short-term response meaning. We conclude that the ECT is supported by our findings and discuss implications of our results for embodied theories of semantic word processing and masked priming experiments.     

The Project Method of Teaching Psychology: A Rejoinder to Dr. Cason

Unlike word frequency counts—e.g., Thorndike and Lorge—or nonsense syllable norms, the total number of different words scaled in extant norms with free associations is limited, although some words were repeatedly scaled. In order to remedy this situation and broaden the word pool for future research, a new norm for 48 words was obtained by means of free associations in the present study (N = 58 men and women undergraduate students in psychology). Discrete normative free associations were procured for 10 words for the first time by the current norm. For the words previously scaled, whereas there were some noticeable differences, overall substantial consistency was observed between the present and earlier results. Further, a survey of previously available word association norms disclosed useful information and interesting trends in this field.     

Latent semantic analysis cosines as a cognitive similarity measure: Evidence from priming studies

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 of these experiments confirm that LSA cosine similarities can predict priming effects, supporting the view that they are psychologically relevant. The present study thereby provides evidence for qualifying LSA cosine similarities not only as a linguistic measure, but also as a cognitive similarity measure. However, it is also shown that other DSMs can outperform LSA as a predictor of priming effects.     

Latent structure in measures of associative,semantic, and thematic knowledge

There has been much debate about the relation between knowledge for meaning (semantic memory) and knowledge for words in context (associative memory). Many measures of that knowledge exist, but do they all measure the same thing? In this study, scaling, clustering, and factor-analytic techniques were used to reveal the structure underlying 13 variables. Semantic similarity determined from lexicographic measures is shown to be separable from the associative strength determined from word association norms, and these semantic and associative measures are in turn separable from abstract representations derived from computational analyses of large bodies of text. The three-factor structure is at odds with traditional views of word knowledge. The expression of long-term knowledge about words and the concepts they represent may be better viewed in terms of associative, semantic, and thematic information.     

语义相似性与类别大小对图-词干扰范式下语义效应的影响

采用基本水平命名和类别水平命名任务, 通过2个实验, 考察了图-词之间的语义相似性与类别大小对图-词干扰范式下语义效应的影响。实验1发现, 图片命名时间在语义相似性高的干扰词条件下显著快于在语义相似性低的干扰词条件下, 但这种效应只出现在基本水平命名任务中, 未出现在类别水平命名任务中。图-词之间的语义相似性高低对低熟悉图片命名影响大, 对高熟悉图片命名影响小。实验2显示, 语义关联的干扰词对图片的基本水平命名产生了语义干扰效应, 对图片的类别水平命名产生了语义促进效应。类别大小强化了语义效应：类别大, 图片的基本水平命名的语义干扰效应更大, 图片的类别水平命名的语义促进效应更强。整个研究表明, 图-词之间的语义关联的强度影响语义效应的方向, 图-词之间的语义关联的广度影响语义效应的强弱。需要结合多种理论来解释图-词之间的语义相似性和类别大小对图-词干扰范式下语义效应的影响。     

How activation, entanglement, and searching a semantic network contribute to event memory

Free-association norms indicate that words are organized into semantic/associative neighborhoods within a larger network of words and links that bind the net together. We present evidence indicating that memory for a recent word event can depend on implicitly and simultaneously activating related words in its neighborhood. Processing a word during encoding primes its network representation as a function of the density of the links in its neighborhood. Such priming increases recall and recognition and can have long-lasting effects when the word is processed in working memory. Evidence for this phenomenon is reviewed in extralist-cuing, primed free-association, intralist-cuing, and single-item recognition tasks. The findings also show that when a related word is presented in order to cue the recall of a studied word, the cue activates the target in an array of related words that distract and reduce the probability of the target’s selection. The activation of the semantic network produces priming benefits during encoding, and search costs during retrieval. In extralist cuing, recall is a negative function of cue-to-distractor strength, and a positive function of neighborhood density, cue-to-target strength, and target-to-cue strength. We show how these four measures derived from the network can be combined and used to predict memory performance. These measures play different roles in different tasks, indicating that the contribution of the semantic network varies with the context provided by the task. Finally, we evaluate spreading-activation and quantum-like entanglement explanations for the priming effects produced by neighborhood density.     

The University Of Colorado Meaning Norms

There exist surprisingly few normative lists of word meanings even though homographs—words having single spellings but two or more distinct meanings—are useful in studying memory and language. The meaning norms that are available all have one or more weaknesses, including: (1) the collection of free associates rather than meanings as responses to the stimulus words; (2) the collection of single rather than multiple responses to the stimulus words; (3) the inclusion of only the two most frequently occurring meaning categories, rather than all meaning categories, for the stimulus words; (4) omission of the responses typical of each meaning category; (5) inadequate randomization of the presentation order of the stimulus words; and (6) unpaced presentation of the stimulus words. We have compiled meaning norms for 90 common English words of low, medium, and high concreteness using a methodology designed to correct these weaknesses. Analysis showed that words of medium concreteness have significantly more first-response meanings than do words of either low or high concreteness, lending support to the view that concreteness is a categorical, rather than a continuous, semantic attribute.     

Semantic processing in “associative” false memory

We studied the semantic properties of a class of illusions, of which the Deese/Roediger-McDermott (DRM) paradigm is the most prominent example, in which subjects falsely remember words that are associates of studied words. We analyzed DRM materials for 16 dimensions of semantic content and assessed the ability of these dimensions to predict interlist variability in false memory. For the more general class of illusions, we analyzed pairs of presented and unpresented words that varied in associative strength for the presence of these same 16 semantic properties. DRM materials proved to be exceptionally rich in meaning, as indexed by these semantic properties. Variability in false recall, false recognition, and backward associative strength loaded on a single semantic factor (familiarity/meaningfulness), whereas variability in true recall loaded on a quite different factor (imagery/concreteness). For word association generally, 15 semantic properties varied reliably with forward or backward association between words. Implications for semantic versus associative processing in this class of illusions, for dual-process theories, and for semantic properties of word associations are discussed. nt]mis|The present article was supported, in part, by grants from the National Institutes of Health (MH-061211) and the National Science Foundation (BCS 0553225) to C.J.B. and V.F.R., a grant from the National Cancer Institute (R13CA126359) to V.F.R., and a grant from the Economic and Social Research Council U.K. (RES-062-23-0452) to M.L.H.     

False recall in the Deese-Roediger-McDermott paradigm: The roles of gist and associative strength

Theories of false memories, particularly in the Deese-Roediger-McDermott (DRM) paradigm, focus on word association strength and gist. Backward associative strength (BAS) is a strong predictor of false recall in this paradigm. However, other than being defined as a measure of association between studied list words and falsely recalled nonpresented critical words, there is little understanding of this variable. In Experiment 1, we used a knowledge-type taxonomy to classify the semantic relations in DRM stimuli. These knowledge types predicted false-recall probability, as well as BAS itself, with the most important being situation features, synonyms, and taxonomic relations. In three subsequent experiments, we demonstrated that lists composed solely of situation features can elicit a gist and produce false memories, particularly when monitoring processes are made more difficult. Our results identify the semantic factors that underlie BAS and suggest how considering semantic relations leads to a better understanding of gist formation.     

The fSAM model of false recall

The authors report a new theory of false memory building upon existing associative memory models and implemented in fSAM, the first fully specified quantitative model of false recall. Participants frequently intrude unstudied critical words while recalling lists comprising their strongest semantic associates but infrequently produce other extralist and prior-list intrusions. The authors developed the theory by simulating recall of such lists, using factorial combinations of semantic mechanisms operating at encoding, retrieval, or both stages. During encoding, unstudied words' associations to list context were strengthened in proportion to their strength of semantic association either to each studied word or to all co-rehearsed words. During retrieval, words received preference in proportion to their strength of semantic association to the most recently recalled single word or multiple words. The authors simulated all intrusion types and veridical recall for lists varying in semantic association strength among studied and critical words from the same and different lists. Multiplicative semantic encoding and retrieval mechanisms performed well in combination. Using such combined mechanisms, the authors also simulated several core findings from the Deese-Roediger-McDermott paradigm literature, including developmental patterns, specific list effects, association strength effects, and true-false correlations. These results challenge existing false-memory theories.     

语义相关性对副中央凹-中央凹效应的影响

阅读时词汇加工的注意分配是序列的还是平行的,是所有眼动控制模型需解答的关键问题。对此,可通过分析副中央窝-中央窝效应（POF效应）进行解释。以往研究结果的争议在于POF效应是否为误差眼跳。本研究为控制眼跳误差,采用分心阅读范式,考察词n与词n－1的语义相关性对词n－1加工的影响,探讨中文阅读的POF效应。实验以26名大学生为被试,选取高频双字词为词n－1,低频双字词为词n。结果发现当词n－1与词n语义相关性高时,词n－1的凝视时间更短,再注视率更低,出现同向的POF效应。本研究在一定条件下支持SWIFT模型为代表的平行加工假设。     

Habituation,memory, and the evaluative dimension of meaning

Two groups of subjects were exposed to a series of 20 either positively evaluated words (E⁺ group) or negatively evaluated words (E^? group). On the twenty-first trial, half the subjects in E⁺ group (the E^+? group) received a negatively evaluated word while the other half of the subjects received a further positively evaluated word (E⁺⁺ group). A similar subdivision was made with the E^? group to yield E^?+ and E^?? groups. Skin conductance responses to all stimulus words were measured. The responses of the E^+? and E^?+ groups were compared to those of their control groups (E⁺⁺ and E^??) for stimulus words 21 and 22. The results of these analyses, and the data concerning responses prior to stimulus word 21, indicated that subjects habituated to semantic stimuli of the same evaluative meaning. Memory for the words was assessed postexperimentally and its relationship to the orienting response in discussed.     

Behavioral and neural analyses of connotative meaning: Word classes and rating scales

Behavioral (semantic differential) and neural (Evoked Potentials, EPs) responses were related to connotative meaning. The approach was based on Osgood's semantic analyses and dimensions of Evaluation (E), Potency (P), and Activity (A). The experimental variables were (1) the semantic class of the stimulus word (E+, E-, P+, P-, A+, A-) and (2) the dimension of the semantic scale (E, P, A) which the subject used to rate the stimulus words. These variables were experimentally combined such that on each trial the subject used a designated semantic scale to judge a specified stimulus word while brain activity was recorded. Using multivariate analyses, the effects on the EPs of stimulus word class, scale dimension, and their interaction were analyzed. The EP effects of stimulus word class were similar whether the subjects were merely saying the words or rating the words on a variety of semantic scales. Different EPs were found for six word classes, three semantic scale dimensions, and the 18 groups formed by their combination. The success rates in EP identification of (1) word class and (2) scale dimension did not depend on whether these two kinds of semantic variables involved the same or different semantic dimensions. The two kinds of semantic effects in EPs were largely independent. The behavioral data supported Osgood's results and showed that our subjects were appropriately processing the semantic information. The common analyses of data from all subjects suggest the universality of the connotative EP effects across individuals. This parallels, at the neural level, the universality of the connotative dimensions found at the behavioral level by semantic differential ratings. The EP effects imply that the neural representation of meaning is similar in different individuals.     

False recall in the Deese–Roediger–McDermott paradigm: The roles of gist and associative strength

Theories of false memories, particularly in the Deese–Roediger–McDermott (DRM) paradigm, focus on word association strength and gist. Backward associative strength (BAS) is a strong predictor of false recall in this paradigm. However, other than being defined as a measure of association between studied list words and falsely recalled nonpresented critical words, there is little understanding of this variable. In Experiment 1, we used a knowledge-type taxonomy to classify the semantic relations in DRM stimuli. These knowledge types predicted false-recall probability, as well as BAS itself, with the most important being situation features, synonyms, and taxonomic relations. In three subsequent experiments, we demonstrated that lists composed solely of situation features can elicit a gist and produce false memories, particularly when monitoring processes are made more difficult. Our results identify the semantic factors that underlie BAS and suggest how considering semantic relations leads to a better understanding of gist formation.     

Concreteness effects in bilingual and monolingual word learning

Previous studies have demonstrated that bilingualism can facilitate novel-word learning. However, the mechanisms behind this bilingual advantage remain unknown. Here, we examined whether bilinguals may be more sensitive to semantic information associated with the novel words. To that end, we manipulated the concreteness of the referent in the word-learning paradigm, since concrete words have been shown to activate the semantic system more robustly than abstract words do. The results revealed that the bilingual advantage was stronger for novel words learned in association with concrete rather than abstract referents. These findings suggest that bilingual advantages for word learning may be rooted, at least in part, in bilinguals' greater sensitivity to semantic information during learning.