What constrains grammatical gender effects on semantic judgements? Evidence from Portuguese

Four studies investigated whether grammatical gender biases the semantic judgements of Portuguese speakers, relative to speakers of English. Some research reports that grammatical gender has a pervasive influence on speakers' cognitive representations (e.g., Boroditsky, Schmidt, & Philips, 2003; Sera, Elieff, Forbes, Burch, & Rodriguez, 2002). Others argue that effects of grammar arise through linguistic processing (e.g., Vigliocco, Vinson, Paganelli, & Dworzynski, 2005) and are restricted to animate categories for which gender is a pertinent feature. The present results found effects of gender in Portuguese speakers' judgements of inanimate objects, but only when gender was task relevant and/or when the stimuli were words, rather than pictures. These findings support the view that gender effects on cognitive judgements arise as a function of linguistic processing and/or task demands, rather than directly influencing conceptual or semantic representations.     

Mental representations of affect knowledge

The circumplex structure derived from similarity ratings of affect words is assumed to be a conceptual representation of affect anchored in semantic knowledge. Recently, it been suggested that this structure is not based on semantic knowledge at all, but may instead reflect a type of episodic knowledge: The degree to which emotions covary in everyday life. In two experience-sampling studies, we compared the semantic and the episodic hypotheses by comparing participants' similarity ratings to the observed covariations in their own affective experience computed from their momentary reports. In Study 2, participants also provided estimates of the degree to which their emotions covaried. Evidence from both studies indicate that similarity judgements are related both to semantic and episodic information, indicating that a pure episodic account of similarity ratings, and the mental representation of affect that they reflect, is untenable.     

Unless reasoning

We report the results of two experiments investigating conditional inferences from conditional unless assertions, such as Juan is not in León unless Nuria is in Madrid. Experiments 1 and 2 check Fillenbaum's hypothesis about the semantic similarity of unless with if not and only if assertions; both also examine inferential endorsements (Experiment 1) and endorsements and latencies (Experiment 2) of the four logically equivalent conditional formulations: if A then B, if not-B then not-A, A only if B and notA unless B. The results of these experiments show the similarity of unless and only if confirming that the representation of both conditionals from the outset probably include two possibilities directionally oriented from B to A; results also confirm the especial difficulty of unless assertions. The implications of the results are discussed in the context of recent psychological and linguistic theories of the meaning of unless.     

The role of textual semantic constraints in knowledge-based inference generation during reading comprehension: A computational approach

The present research adopted a computational approach to explore the extent to which the semantic content of texts constrains the activation of knowledge-based inferences. Specifically, we examined whether textual semantic constraints (TSC) can explain (1) the activation of predictive inferences, (2) the activation of bridging inferences and (3) the higher prevalence of the activation of bridging inferences compared to predictive inferences. To examine these hypotheses, we computed the strength of semantic associations between texts and probe items as presented to human readers in previous behavioural studies, using the Latent Semantic Analysis (LSA) algorithm. We tested whether stronger semantic associations are observed for inferred items compared to control items. Our results show that in 15 out of 17 planned comparisons, the computed strength of semantic associations successfully simulated the activation of inferences. These findings suggest that TSC play a central role in the activation of knowledge-based inferences.     

Linguistic styles and complementarities in analyzing character

This paper discusses and illustrates some technical implications of D. Liberman's contributions to character analysis. Psychoanalysis is an extended conversation, and character structure is expressed linguistically as part of an interactive linguistic fi eld. Liberman's notions of linguistic styles and communicative interaction defi ne a unique analytic surface from which to examine the syntactic, semantic and pragmatic aspects of character. The presence of a rigid and defensive linguistic style refl ects resistance and communicative impasse within the transference and countertransference matrix. A fully interactive communicative experience integrates all aspects of the conversation and allows both participants to take part in a shared semantic fi eld, the precondition to the generation of new meanings. Liberman suggests responding to miscommunication by means of a methodical linguistic attitude. Various such complementary responses are explored through several vignettes, with a particular focus on the interplay of the epic and narrative modes.     

Adjective–noun order as representational structure: Native-language grammar influences perception of similarity and recognition memory

This article describes two experiments linking native-language grammar rules with implications for perception of similarity and recognition memory. In prenominal languages (e.g., English), adjectives usually precede nouns, whereas in postnominal languages (e.g., Portuguese), nouns usually precede adjectives. We explored the influence of such rules upon similarity judgments about, and recognition of, objects with multiple category attributes (one nominal attribute and one adjectival attribute). The results supported the hypothesized primacy effect of native-language word order such that nouns generally carried more weight for Portuguese speakers than for English speakers. This pattern was observed for judgments of similarity (i.e., Portuguese speakers tended to judge objects that shared a noun-designated attribute as more similar than did English speakers), as well as for false alarms in recognition memory (i.e., Portuguese speakers tended to falsely recognize more objects if they possessed a familiar noun attribute, relative to English speakers). The implications of such linguistic effects for the cognition of similarity and memory are discussed.     

Instantiation of general terms in young and older adults

Instantiation of general terms in discourse requires inference from general world knowledge and use of linguistic context to particularize meaning. According to the semantic deficit hypothesis, older adults should be less likely than young adults to generate or to store such inferences. In Experiments 1 and 2 an indirect measure, relatedness judgment, was used to assess immediate comprehension and memory for inferences. In Experiment 3 a direct measure, cued recall, was used to tap memory for inferences. No age differences in immediate or delayed memory were observed in Experiments 1 or 2. In Experiment 3 older adults recalled fewer sentences, but there was no evidence for a specific decrement in storage of inferential material. Older adults are not impaired in ability to draw inferences based on general world knowledge, nor are they more likely than young adults to encode linguistic information in a general, stereotypic fashion.     

Causal relations and feature similarity in children's inductive reasoning

Four experiments examined the development of property induction on the basis of causal relations. In the first 2 studies, 5-year-olds, 8-year-olds, and adults were presented with triads in which a target instance was equally similar to 2 inductive bases but shared a causal antecedent feature with 1 of them. All 3 age groups used causal relations as a basis for property induction, although the proportion of causal inferences increased with age. Subsequent experiments pitted causal relations against featural similarity in induction. It was found that adults and 8-year-olds, but not 5-year-olds, preferred shared causal relations over strong featural similarity as a basis for induction. The implications for models of inductive reasoning and development are discussed.     

The mathematics of sharing / Las matemáticas que realizan los niños al compartir

Abstract

The purpose of sharing is to construct equivalent sets, making it an ideal context for analysing important quantitative concepts such as counting, equivalence and cardinality. Two studies analysed how four- and five-year-olds shared blocks in equal sharing and reciprocity conditions and their number inferences about one set after counting the other. The researcher asked children to share double and single blocks between two characters. They succeeded more in building equivalent shares in an equal sharing than reciprocity condition. Most children who shared correctly also made appropriate number inferences. To examine whether perceptual cues helped children share the blocks, a second study used Canadian $1 and $2 coins. A double block is twice the size of a single, whereas there is no visual cue about the value relation between coins because they are the same size. Unexpectedly, children shared equally well with blocks and coins, and most children made number inferences.     

Children's Use of Social Categories in Thinking About People and Social Relationships

A series of studies investigated White U.S. 3- and 4-year-old children's use of gender and race information to reason about their own and others’ relationships and attributes. Three-year-old children used gender- but not race-based similarity between themselves and others to decide with whom they wanted to be friends, as well as to determine which children shared their own preferences for various social activities. Four-year-old (but not younger) children attended to gender and racial category membership to guide inferences about others’ relationships but did not use these categories to reason about others’ shared activity preferences. Taken together, the findings provide evidence for three suggestions about these children's social category-based reasoning. First, gender is a more potent category than race. Second, social categories are initially recruited for first-person reasoning but later become broad enough to support third-person inferences. Finally, at least for third-person reasoning, thinking about social categories is more attuned to social relationships than to shared attributes.     

What plausibly affects plausibility? Concept coherence and distributional word coherence as factors influencing plausibility judgments

Our goal was to investigate the basis of human plausibility judgements. Previous research had suggested that plausibility is affected by two factors: concept coherence (the inferences made between parts of a discourse) and word coherence (the distributional properties of the words used). In two experiments, participants were asked to rate the plausibility of sentence pairs describing events. In the first, we manipulated concept coherence by using different inference types to link the sentences in a pair (e.g., causal or temporal). In the second, we manipulated word coherence by using latent semantic analysis, so two sentence pairs describing the same event had different distributional properties. The results showed that inference type affects plausibility; sentence pairs linked by causal inferences were rated highest, followed by attributal, temporal, and unrelated inferences. The distributional manipulations had no reliable effect on plausibility ratings. We conclude that the processes involved in rating plausibility are based on evaluating concept coherence, not word coherence.     

Mapping the similarity space of paintings: Image statistics and visual perception

What makes two images look similar? Here we test the hypothesis that perceived similarity of artwork is related to basic image statistics to which the early visual system is attuned. In two experiments, we employ multidimensional scaling (MDS) analysis of paired-image similarity ratings from observers for paintings. Two sets of images, classified as “landscapes” and “portraits/still-life”, are tested separately. For the landscapes, we find that one of the first two MDS scales of similarity is strongly correlated with a basic greyscale image statistic, whereas the other dimension can be accounted for by a semantic variable (representation of people). For portrait/still-life, the first two MDS scales of similarity are most highly correlated with semantic variables. Linear combinations of statistical and nonstatistical features achieve improved predictive values for the first two MDS scales for both sets. The statistics that play the largest role in shaping similarity judgements in our tests are the activity fraction measure of sparseness and the log-log slope of the spatial frequency amplitude spectrum. We discuss these results in the context of scene perception and in terms of efficient coding of statistical regularities in scenes.     

藏-汉-英三语者语言联系模式探讨

采用跨语言长时重复启动的研究范式,考察了藏-汉-英三语者三种语言的联系模式。结果表明：（1）藏-汉-英三语者不同语言之间的联系模式不同。藏语和汉语之间为概念中介联系模式,汉语和英语之间为词汇联系模式,藏语和英语之间没有直接联系。（2）语言熟练程度、语言相似性和学习的媒介语影响藏-汉-英三语者的语言联系模式。整个研究表明,藏-汉-英三语者的语言联系模式与双语者的语言联系模式既有相似之处,也有明显不同。研究结果对于少数民族的外语教学有重要的参考价值     

A little learning is a dangerous thing: an experimental demonstration of ignorance-driven inference

Studies of ignorance-driven decision making have been employed to analyse when ignorance should prove advantageous on theoretical grounds or else they have been employed to examine whether human behaviour is consistent with an ignorance-driven inference strategy (e.g., the recognition heuristic). In the current study we examine whether - under conditions where such inferences might be expected - the advantages that theoretical analyses predict are evident in human performance data. A single experiment shows that, when asked to make relative wealth judgements, participants reliably use recognition as a basis for their judgements. Their wealth judgements under these conditions are reliably more accurate when some of the target names are unknown than when participants recognize all of the names (a "less-is-more effect"). These results are consistent across a number of variations: the number of options given to participants and the nature of the wealth judgement. A basic model of recognition-based inference predicts these effects.     

A little learning is a dangerous thing: An experimental demonstration of ignorance-driven inference

Studies of ignorance-driven decision making have been employed to analyse when ignorance should prove advantageous on theoretical grounds or else they have been employed to examine whether human behaviour is consistent with an ignorance-driven inference strategy (e.g., the recognition heuristic). In the current study we examine whether—under conditions where such inferences might be expected—the advantages that theoretical analyses predict are evident in human performance data. A single experiment shows that, when asked to make relative wealth judgements, participants reliably use recognition as a basis for their judgements. Their wealth judgements under these conditions are reliably more accurate when some of the target names are unknown than when participants recognize all of the names (a “less-is-more effect”). These results are consistent across a number of variations: the number of options given to participants and the nature of the wealth judgement. A basic model of recognition-based inference predicts these effects.     

Automatic syntactic computation and use of semantic information during sentence comprehension

Summary The paper represents a contribution to the issue of the differential effects of syntactic, semantic and pragmatic information in the process of sentence comprehension. The results of four experiments are reported, in which sentences containing syntactic, semantic and pragmatic violations were presented with different tasks to see how these violations affected language comprehension, how easily they were detected and whether they affected sentence comprehension even when they were not explicitly recognized. The main results can be summarized as follows. First, the most relevant cues used to comprehend a sentence are not so much syntactic, but semantic or pragmatic. Second, with difficult or anomalous linguistic input, syntactic cues become more important. Third, even when the reader is not aware of syntactic violations, these seem to affect his processing of the linguistic input. This suggests the hypothesis of an automatic computation of syntactic information, the output of which is, however, used only when evidence coming from other sources, semantic or pragmatic, is insufficient or not clear enough.     

In search of explanations: A rejoinder to Borkenau

The main points raised by Borkenau against our challenge of the 'intuitive psychometrics' view of personality judgements are discussed, in particular his example of the link between school grades and intelligence. It is argued that the semantic similarity interpretation advanced in our paper is more adequate and more parsimonious than explanations in terms of psychometric reasoning.