Word associations in deep dyslexia

Deep dyslexia is an acquired reading disorder resulting in the production of semantic errors during oral reading and an inability to read aloud nonwords. Several researchers have postulated that patients with deep dyslexia have both phonological and semantic access impairments but the data supporting these claims are not convincing. In fact, the hallmark feature of deep dyslexia--the semantic errors--strongly implies that these patients can access semantic information from printed words. We test the integrity of the semantic system in two such patients through auditory and visual word association tasks. The data support the notion that semantics remains intact and that the disorder and associated errors arise through a selection impairment related to failure of inhibitory connections in the phonological lexicon.     

You Can’t Drink a Word: Lexical and Individual Emotionality Affect Subjective Familiarity Judgments

For almost 30 years, subjective familiarity has been used in psycholinguistics as an explanatory variable, allegedly able to explain many phenomena that have no other obvious explanation (Gernsbacher in J Exp Psychol General 113:256–281, 1984). In this paper, the hypothesis tested is that the subjective familiarity of words is reflecting personal familiarity with or importance of the referents of words. Using an empirically-grounded model of affective force derived from Wundt (Grundriss der Psychologie [Outlines of Psychology]. Engelmann, Leibzig, 1896) and based in a co-occurrence model of semantics (which involves no human judgment), it is shown that affective force can account for the same variance in a large set of human subjective familiarity judgments as other human subjective familiarity judgments, can predict whether people will rate new words of the same objective frequency as more or less familiar, can predict lexical access as well as human subjective familiarity judgments do, and has a predicted relationship to age of acquisition norms. Individuals who have highly affective reactivity [as measured by Carver and White’s (J Pers Soc Psychol 67(2):319–333, 1994) Behavioral Inhibition Scale and Behavioral Activation Scales] rate words as significantly more familiar than individuals who have low affective reactivity.     

Non‐Arbitrariness in Mapping Word Form to Meaning: Cross‐Linguistic Formal Markers of Word Concreteness

Arbitrary symbolism is a linguistic doctrine that predicts an orthogonal relationship between word forms and their corresponding meanings. Recent corpora analyses have demonstrated violations of arbitrary symbolism with respect to concreteness, a variable characterizing the sensorimotor salience of a word. In addition to qualitative semantic differences, abstract and concrete words are also marked by distinct morphophonological structures such as length and morphological complexity. Native English speakers show sensitivity to these markers in tasks such as auditory word recognition and naming. One unanswered question is whether this violation of arbitrariness reflects an idiosyncratic property of the English lexicon or whether word concreteness is a marked phenomenon across other natural languages. We isolated concrete and abstract English nouns (N  = 400), and translated each into Russian, Arabic, Dutch, Mandarin, Hindi, Korean, Hebrew, and American Sign Language. We conducted offline acoustic analyses of abstract and concrete word length discrepancies across languages. In a separate experiment, native English speakers (N  = 56) with no prior knowledge of these foreign languages judged concreteness of these nouns (e.g., Can you see, hear, feel, or touch this? Yes/No). Each naïve participant heard pre‐recorded words presented in randomized blocks of three foreign languages following a brief listening exposure to a narrative sample from each respective language. Concrete and abstract words differed by length across five of eight languages, and prediction accuracy exceeded chance for four of eight languages. These results suggest that word concreteness is a marked phenomenon across several of the world's most widely spoken languages. We interpret these findings as supportive of an adaptive cognitive heuristic that allows listeners to exploit non‐arbitrary mappings of word form to word meaning.     

Interaction with a 'sex-expert' system enhances attitudes towards computerized sex therapy

The present experiment investigated whether a new rule-based expert system, Sexpert, designed to assess and treat sexual dysfunction would be positively evaluated by n?ive users. In a between groups design, four groups of eight students were randomly assigned to one of two experimental groups or one of two control groups. Ss in the experimental groups interacted with one of two versions of Sexpert. Ss in one control group filled out a questionnaire concerning their sexual functioning while Ss in the other interacted with a non-sex related computer program. Perceived dissimilarity to other established treatments for sexual dysfunction and semantic differential attitudes measures taken both before and after the experimental manipulations showed a significant positive shift in favor of computerized sex therapy for those Ss who interacted with either version of Sexpert but not for Ss in either of the control conditions.     

Deep dyslexia and semantic errors: a test of the failure of inhibition hypothesis using a semantic blocking paradigm

Deep dyslexia is an acquired reading disorder that involves the production of semantic errors and the inability to read aloud nonwords successfully. Several explanations for this reading impairment posit multiple loci of damage to account for the various error types produced in deep dyslexia. In contrast, the failure of inhibition hypothesis suggests that damage in the phonological output lexicon alone can explain these errors. Specifically, this hypothesis proposes normal processing via orthographic and phonological reading routes, as well as an intact semantic system. However, slowed or reduced inhibitory connections result in the failure to suppress spuriously activated neighbours in the phonological output lexicon, where neighbourhood can be defined in terms of phonology, orthography, or semantics. Given a failure to inhibit semantically related candidates, semantic reading errors occur. Important to the test of this hypothesis is that it evolves several predictions that are contrary to performance observed in the normal population. In particular, semantic errors are predicted to be greater in conditions where words are blocked according to semantic category than in random presentations. In addition, a semantic interference effect is expected. The results of semantic blocking were consistent with these predictions and lend support to the failure of inhibition hypothesis.     

The probability of the least likely non-length-controlled bigram affects lexical decision reaction times

The frequency effect, by which high frequency words are recognized with more ease than low frequency words, is one of the most robust effects in cognitive psychology. Frequency interacts with many word-level variables, to the extent that most effects reported in word recognition literature have an impact only on low frequency words. This has been taken as evidence that high frequency words are accessed in a special way, via either an addressed pathway as in the dual-route model or an assembled pathway as in a PDP model. Under either model, sublexical effects should have no bearing on the ease with which representations for high frequency words are accessed. In this article, however, we describe a series of studies that examine a sublexical effect (namely nonlength controlled minimal bigram frequency) that is only found for high frequency words, suggesting that sublexical processing must play a role in the recognition of even high frequency words.     

Semantic information is used by a deep dyslexic to parse compounds

We report a case study of a 48 year-old patient, J.O., who was tested 20 years after the removal of a tumor in the left temporal-parietal region. This surgery and subsequent radiation resulted in right side paralysis and numerous language problems. Tests of J.O.'s single word reading abilities indicate that she could be classified as a deep dyslexic with over 16% of her errors in word naming having a clear semantic relationship with the target word (Coltheart, 1980). We examined her ability to read compound words aloud and following Libben (1993) we provide evidence that J.O. is a second case in which there is obligatory access of morphological constituents of compound words. These data are discussed within the context of Libben's (1998) compound word processing model.     

Avoid violence,rioting, and outrage; approach celebration,delight, and strength: Using large text corpora to compute valence,arousal, and the basic emotions

Ever since Aristotle discussed the issue in Book II of his Rhetoric, humans have attempted to identify a set of “basic emotion labels”. In this paper we propose an algorithmic method for evaluating sets of basic emotion labels that relies upon computed co-occurrence distances between words in a 12.7-billion-word corpus of unselected text from USENET discussion groups. Our method uses the relationship between human arousal and valence ratings collected for a large list of words, and the co-occurrence similarity between each word and emotion labels. We assess how well the words in each of 12 emotion label sets—proposed by various researchers over the past 118 years—predict the arousal and valence ratings on a test and validation dataset, each consisting of over 5970 items. We also assess how well these emotion labels predict lexical decision residuals (LDRTs), after co-varying out the effects attributable to basic lexical predictors. We then demonstrate a generalization of our method to determine the most predictive “basic” emotion labels from among all of the putative models of basic emotion that we considered. As well as contributing empirical data towards the development of a more rigorous definition of basic emotions, our method makes it possible to derive principled computational estimates of emotionality—specifically, of arousal and valence—for all words in the language.     

The principals of meaning: Extracting semantic dimensions from co-occurrence models of semantics

Notable progress has been made recently on computational models of semantics using vector representations for word meaning (Mikolov, Chen, Corrado, & Dean, 2013; Mikolov, Sutskever, Chen, Corrado, & Dean, 2013). As representations of meaning, recent models presumably hone in on plausible organizational principles for meaning. We performed an analysis on the organization of the skip-gram model’s semantic space. Consistent with human performance (Osgood, Suci, & Tannenbaum, 1957), the skip-gram model primarily relies on affective distinctions to organize meaning. We showed that the skip-gram model accounts for unique variance in behavioral measures of lexical access above and beyond that accounted for by affective and lexical measures. We also raised the possibility that word frequency predicts behavioral measures of lexical access due to the fact that word use is organized by semantics. Deconstruction of the semantic representations in semantic models has the potential to reveal organizing principles of human semantics.