The MRC psycholinguistic database

This paper describes a computerised database of psycholinguistic information. Semantic, syntactic, phonological and orthographic information about some or all of the 98,538 words in the database is accessible, by using a specially-written and very simple programming language. Word-association data are also included in the database. Some examples are given of the use of the database for selection of stimuli to be used in psycholinguistic experimentation or linguistic research.     

Surface dyslexia: A case report and some theoretical implications to reading models

This paper reports on the psycholinguistic investigation of a surface dyslexic aphasic patient's abilities to handle written material. The analysis of paralexic errors produced in reading aloud single words and nonwords classically suggested that the patient was using an analytical strategy parsing the letter string stimulus, from left to right, into graphemes, and assigning phonemic values to graphemes. The patient's results were found to be sensitive to irregularities in correspondence between graphemes and phonemes not only in reading aloud but in lexical decisions, writing on dictation, rhyming, and written-word comprehension. Moreover, the patient's linguistic behavior brought out the reverse pattern observed in deep-dyslexic performances within word/nonword and content/function word dimensions. It was found that some semantic information about written words could be retrieved from both phonological and nonphonological processes presumably operating concurrently and both providing converging or conflicting pieces of meaning to the understanding of written words. Some considerations derived from the observation of this pathological reading behavior are discussed, contributing to a psycholinguistic model of normal reading.     

Conceptions of states and traits: dimensional attributes with ideals as prototypes

Traits and states are concepts that people use to both describe and understand themselves and others. We show that people view these concepts as prototype-based categories that have a graded internal structure and fuzzy boundaries and identify a set of attributes that define the prototypical cores of two categories: traits and states. Prototypical traits are stable, long-lasting, and internally caused. Prototypical states are temporary, brief, and caused by external circumstances. These prototypes are not defined by averages, as the family-resemblance principle would suggest, but by ideal (or extreme) attribute values. Like other ideal-based categories, traits and states serve particular goals. Trait concepts permit people to predict the present from the past; state concepts identify those behaviors that can be controlled by manipulating the situation. These two complementary schemas are part of the extensive theory of psychological causality that is implicit in language. Abstract social concepts differ from object categories in their category standards, the nature of their attributes, and the interrelations among those attributes.     

Computer-assisted analysis of conversation

Psychologists and linguists have employed computer programs to analyze written and spoken text. The Computer-Assisted Language Analysis System (CALAS) is a computer program that utilizes three sequential programs to parse the language of two speakers in a conversation into words, phrases, and clauses, and places verbs and nouns into categories derived from theories of case grammar. Rather than using a large “dictionary,” CALAS determines the category of each word on the basis of adjacent function words and placement of the words in the sentence. Output from CALAS lists the frequency of each category and can be used to construct measures of linguistic style and verb usage. Research employing CALAS includes the study of various types of psychotherapy, behavior therapy, classroom discourse, and literary texts.     

EQUIWORD: A software application for the automatic creation of truly equivalent word lists

Word lists are most commonly used in the investigation of human memory. To prevent transfer effects, repeated measures of memory for words require multiple lists of different words. Yet, the psycholinguistic properties of all word lists employed should match as closely as possible to avoid confounding with the independent variable(s) in question. Although comprehensive databases for word norms exist, to our knowledge no tool is available that automates the creation of such equivalent word lists. Instead, matching different lists is often accomplished prima facie. We have therefore developed a Windows program called EQUIWORD that completely automates the creation of word lists that are truly parallel with respect to a wide range of attributes. EQUIWORD takes psycholinguistic databases of different formats as input and computes several coefficients of distance for every possible word pairing. Program output consists of a list of all word pairs sorted according to their distance. On that basis, creating equivalent word lists is simply done by selecting the pairs with the lowest distance coefficients.     

CD-CAT初始阶段项目选取方法

CD-CAT是CDA同CAT的相结合的产物,适用于课堂教学,是教师补救教学、学生自我学习的重要工具。作为CD-CAT重要组成部分的初始阶段项目选取方法是影响测验判准率的重要因素。本文基于现有研究和CDA的项目区分度提出了四种新的初始阶段项目选取方法:CTTID法、CDI法、CTTIDR*法和CDIR*法。通过模拟研究发现,在定长的CD-CAT下,题库质量是HD-HV下,初始阶段结束时,CTTIDR*法的PCCR比现有的T阵法高了.2999,比PWKL高了.1707,其它题库下趋势相同。整个测验结束时CTTIDR*法的判准率仍然是最高的。在变长的CD-CAT下,最大后验概率大于.7、.8、.9下,CTTIDR*法的被试平均测验长度比T阵法分别缩短了2.6170、2.2347、1.7470道题。     

Visual-word identification thresholds for the 260 fragmented words of the Snodgrass and Vanderwart pictures in Spanish

Word difficulty varies from language to language; therefore, normative data of verbal stimuli cannot be imported directly from another language. We present mean identification thresholds for the 260 screen-fragmented words corresponding to the total set of Snodgrass and Vanderwart (1980) pictures. Individual words were fragmented in eight levels using Turbo Pascal, and the resulting program was implemented on a PC microcomputer. The words were presented individually to a group of 40 Spanish observers, using a controlled time procedure. An unspecific learning effect was found showing that performance improved due to practice with the task. Finally, of the 11 psycholinguistic variables that previous researchers have shown to affect word identification, only imagery accounted for a significant amount of variance in the threshold values.     

分类视角下认知诊断测验项目区分度指标及应用

在认知诊断中还没有指标能在无作答数据情况下直接评价项目的属性分类准确率或属性判准率。项目水平上的属性分类准确率,与项目属性向量、项目参数、先验分布和作答反应等有关。综合各个影响因素定义了项目水平上的属性期望分类准确率指标,并将其用于组卷。模拟研究显示：新指标可十分准确地评价项目的属性判准率,新指标对于项目筛选十分重要;以模式分类准确率为评价指标,基于新指标的组卷方法与经典的组卷方法表现相当。     

Explaining derivational morphology as the convergence of codes

Language users have a remarkable ability to create, produce and comprehend complex words. Words such as undercut and bakery appear to be composed of units, traditionally called morphemes, that recombine in rule-like ways to form other words, such as underline and cannery. However, morphological systems are quasiregular: they are systematic and productive but admit many seemingly irregular forms. Thus, bakery is related to bake and cannery to can but what is the groce in grocery? There is no bread in sweetbreads, liver in deliver, corn in corner or ginger in gingerly. Such words exhibit partial regularities concerning the correspondences between form and meaning, the treatment of which has important implications for linguistic and psycholinguistic theories. This article describes an approach to morphological phenomena called the convergence theory, in which morphology is a graded, inter-level representation that reflects correlations among orthography, phonology and semantics.     

Semantic diversity: A measure of semantic ambiguity based on variability in the contextual usage of words

Semantic ambiguity is typically measured by summing the number of senses or dictionary definitions that a word has. Such measures are somewhat subjective and may not adequately capture the full extent of variation in word meaning, particularly for polysemous words that can be used in many different ways, with subtle shifts in meaning. Here, we describe an alternative, computationally derived measure of ambiguity based on the proposal that the meanings of words vary continuously as a function of their contexts. On this view, words that appear in a wide range of contexts on diverse topics are more variable in meaning than those that appear in a restricted set of similar contexts. To quantify this variation, we performed latent semantic analysis on a large text corpus to estimate the semantic similarities of different linguistic contexts. From these estimates, we calculated the degree to which the different contexts associated with a given word vary in their meanings. We term this quantity a word’s semantic diversity (SemD). We suggest that this approach provides an objective way of quantifying the subtle, context-dependent variations in word meaning that are often present in language. We demonstrate that SemD is correlated with other measures of ambiguity and contextual variability, as well as with frequency and imageability. We also show that SemD is a strong predictor of performance in semantic judgments in healthy individuals and in patients with semantic deficits, accounting for unique variance beyond that of other predictors. SemD values for over 30,000 English words are provided as supplementary materials.     

Neglected Factors Bearing on Reaction Time in Language Production

The input to phonological reasoning are alternations, that is, variations in the pronunciation of related words, such as in electri[k] - electri[s]-ity. But phonologists cannot agree what counts as a relevant alternation: the issue is highly contentious despite a research record of over 50 years. We believe that the experimental setup presented may contribute to this debate based on a kind of evidence that was not brought to bear to date. Our experiment was thus designed to distinguish between alternations where phonological computation plays no role, and those where it has contributed to language production. The design manipulates two factors that to date have not been considered in experimental studies of language production: linguistic complexity and alternation specificity. The former is understood as extra processing demands issued by two types of linguistic activity, morphosyntactic and phonological. Our results show that reaction time latencies are longer when participants are burdened with both morphosyntactic and phonological tasks than when they carry out just a morphosyntactic task, and they are still shorter in absence of both types of demands. These results allowed us to address alternation specificity, that is, the fact that different alternations (within a language or across languages) may be driven by different production routines (an idea that is consensual among linguists but underdeveloped in the psycholinguistic literature). Our study shows that four different alternations in French produce alternation-specific signatures in reaction time latencies. These findings may thus redound to the advantage of psycholinguistic studies by identifying two new factors, as well as produce results that speak to the linguistic quarrels.     

Effects of grammatical form-class set upon perception of grammatically ambiguous English words

Three independent groups of ten subjects each were assigned to three levels of set for grammatical form-class: noun set, verb set, and control. The effects of set upon perception of words ambiguous as to usage as noun or verb form were investigated, utilizing a factorial design. Main effects of set and form class were not statistically significant. Their interaction, however, reached significance at the 0.05 level. As predicted, tachistoscopic thresholds were lower for set-compatible words. Implications of these findings for perceptual integration vs. response bias explanations of the word frequency-threshold effect and for the psycholinguistic nature of grammatical form-class are discussed.     

The role of structural consistency between categories and attributes in hierarchical category learning

This study investigated how consistency between categories and attributes determines attribute selection in hierarchical category learning. Participants learned six categories for which number and color were equally relevant attributes, followed by a transfer task, to test which attribute was used. Before that, half of them learned embedding higher-level categories for which numbers were likely to be used. Orthogonal to this factor, the hierarchical structure was made explicit for half of them by category labels. The results showed that participants used numbers in the prior learning, but that the use of numbers was inhibited in the subsequent six-category learning task. However, this inhibitory effect was reduced when the hierarchical structure was explicit. The pattern of results suggests that attribute selection is determined by structural consistency between categories and attributes, not by a prior use of an attribute.     

The semantics of syntactic structures

Over the past 15 years, both linguists and psycholinguists have shown a growing interest in the idea that syntactic structures can carry meanings that are independent of the meanings of specific words. This article considers how this idea relates to traditional notions of compositionality in generative grammar, and examines two modern theories that, although based on different starting assumptions, both readily allow syntactic structures to bear independent meaning. We review work from psycholinguistics suggesting that observation alone is often insufficient to support the efficient learning of word meanings, and that some of the 'slack' left by observation can be picked up by the semantics of the syntactic structures in which words appear. We argue that this convergence between linguistic theory and psycholinguistic experimentation should be no surprise, because language must be learnable.     

A Probabilistic Model of Lexical and Syntactic Access and Disambiguation

The problems of access—retrieving linguistic structure from some mental grammar —and disambiguation—choosing among these structures to correctly parse ambiguous linguistic input—are fundamental to language understanding. The literature abounds with psychological results on lexical access, the access of idioms, syntactic rule access, parsing preferences, syntactic disambiguation, and the processing of garden-path sentences. Unfortunately, it has been difficult to combine models which account for these results to build a general, uniform model of access and disambiguation at the lexical, idiomatic, and syntactic levels. For example, psycholinguistic theories of lexical access and idiom access and parsing theories of syntactic rule access have almost no commonality in methodology or coverage of psycholinguistic data. This article presents a single probabilistic algorithm which models both the access and disambiguation of linguistic knowledge. The algorithm is based on a parallel parser which ranks constructions for access, and interpretations for disambiguation, by their conditional probability. Low-ranked constructions and interpretations are pruned through beam-search; this pruning accounts, among other things, for the garden-path effect. I show that this motivated probabilistic treatment accounts for a wide variety of psycholinguistic results, arguing for a more uniform representation of linguistic knowledge and for the use of probabilistically-enriched grammars and interpreters as models of human knowledge of and processing of language.     

Kindergartners' reasoning in simple problems

Three experiments assessed kindergartners' performance on simple conceptlike problems in which the correct solution could be selected from a specified set of possible solutions by using the information provided by a single positive or negative stimulus. For both positive and negative instances, performance was accurate when all stimulus attributes were logically informative, but performance was impaired when stimuli included an additional, logically uninformative, attribute. This impairment could not be attributed simply to increased information processing load. Children seemed to realize that uninformative attributes provided no basis for choosing among possible solutions, but did not seem to understand how to interpret this fact in order to make appropriate inferences. It was suggested that children's inferential deficit may result from a failure to understand how the relationships that exist between two sets of information are coordinated with the relationships that exist among the parts of each set. Implications were discussed for kindergartners' performance on more complex concept problems.     

Trade-off between memory for verbal items and their visual attributes.

Instructions to attend to the case and color in which words were presented led to improved retention of these visual attributes but depressed recognition performance. This trade-off between item and attribute memory occurred at three presentation rates (1.5, 5.5, and 10.5 sec/item), suggesting that visual attributes of verbal stimuli are rarely stored unless subjects expect that knowledge of physical form will be useful later. Visual attributes of high-imagery words were retained better than visual attributes of low imagery words by subjects instructed to attend to case and color, but not by subjects asked only to attend to word meaning. Implications of these findings for the hypothesis that visually presented verbal stimuli are stored as literal copies are discussed.