词素效应到底是什么？——来自维吾尔语的证据

利用维吾尔语的一些特点,采用视觉－视觉启动、听觉－视觉跨通道启动、和延迟重复启动等三种启动技术,改变目标词和启动词之间在词素、词形以及语义上的多种关系,通过比较启动效应的异同,来考察词素效应是否可以还原为词形启动效应、语义效应,是否可以看成是词形和语义在实时加工中相互作用的后果,从而探讨词汇加工中词素效应的实质。实验一发现,在明确配对的视觉－视觉和跨通道启动中,启动词和目标词之间只有在具有词素加语义关系（＋m＋o＋s / D,＋m＋o＋s / R;其中,m 代表词素,o 代表词形,s 代表语义,D 代表目标词为派生词,R代表目标词为自由词根;＋ 表示启动词和目标词之间在某个维度上相关,－表示启动词和目标词之间在某个维度上无关）时或者仅仅具有语义关系（－m－o＋s / D）时,才有显著的启动效应。如果启动词与目标词之间仅仅具有词素（词形）关系,而没有语义关系（＋m＋o－s / D）,或者仅仅具有词形关系（－m＋o－s / R）,它们之间的启动效应微乎其微。实验二通过使用维吾尔语中的借词和延迟启动技术,比较了词素加语义加词形（＋m＋o＋s / D）的启动和语义加词形启动（－m＋o＋s / D）以及语义启动（－m＋o＋s / D）,发现词素启动效应并没有不同于其他启动条件下的效应。两个实验都表明,语义关系是产生启动效应的关键,没有语义相关,就不可能产生词素启动,词素效应依赖于语义效应。有了语义关系,词素关系和词形关系产生的作用很小。因此,词汇加工的词素效应是词形和语义统计学规律的反应,是词形和语义加工相互作用的后果,心理词典中并不需要明确地表征词汇结构。     

词素语义在三、五年级儿童汉语词汇识别中的作用

采用启动范式,利用词素语义透明度效应,在汉语词汇识别过程中探讨了三、五年级儿童对词素语义的加工。实验采用3×2×2混合因素设计,变量分别为年级（三年级vs.五年级vs.成人）、启动词类型(词形相关vs.词形无关)和目标词类型(透明词vs.不透明词)。结果发现启动词类型和目标词类型交互作用显著,当词形相关时,被试对透明词判断的正确率更高;当词形无关时,被试对不透明词判断的正确率更高,反应时更快。此外,未发现启动词类型、目标词类型和年级两者或三者的交互作用。结果说明三、五年级儿童在汉语词汇阅读过程中,词素语义可以被激活并影响到当前词汇的加工,词形相似性会对这种词素语义透明度效应产生影响。此外,词素语义透明度效应在三、五年级以及成人间保持稳定。     

词汇判断中汉语多义词识别的优势效应

运用词汇判断任务,考察了汉语双字词识别中的多义性效应。实验一运用2个真字任意组合构成的假词（如：镜社）作填充材料,发现多义词识别的优势效应仅仅存在于错误率中。实验二运用与源真词（如：冲锋）同音形似的假词（如：冲烽）作填充材料,促使被试更多地在语义水平上做出判断,结果发现很强的多义词识别的优势效应,这种效应主要表现在低频词上。两个实验结果表明,在词汇判断中用不同的假词作填充词会影响被试的词汇判断策略,从而在不同水平上通达词义。最后,用反馈模型对实验结果进行了解释。     

汉语句子格角色分配的一种神经网络方法

提出了一个基于分布式表征的计算模型,通过并行分布加工方式完成六类汉语句子的格角色分配任务。模型是一个四层的前传网络,包括输入层（词的分布式表征层）,两个隐层,输出层（格角色层）;其中第一隐层的一部分反馈到输入层。模型采用误差反传算法,通过提供学习样本和目标输出,不断调整三个权值矩阵,使得网络稳定时能得到正确的结果。经过训练后的网络具有一定的稳定性和鲁棒性。还对这种方法与传统的符号处理方法作了比较和分析。     

中-英双语语义通达机制的启动效应实验

采用不同加工水平的词汇判断任务,考察了启动刺激对目标刺激的启动效应,来探讨中英双语的语义通达机制。被试为大学生38名。结果发现：当启动刺激（英）和目标刺激（英）之间存在语义联想关系,得到了显著的启动效应（实验一）;当启动刺激（中）和目标刺激（英）之间存在语义联想关系,也得到了显著的跨语言启动效应（实验二）;当启动刺激（中）的翻译对等词和目标刺激（英）之间存在语音相同或相近关系时,采用基于语音的词汇判断任务,也得到了显著的跨语言启动效应。这一结果表明,对于中英双语者来说,第二语言的词汇表征既直接通达语义概念表征,又可以借助第一语言的词汇表征为中介再通达语义概念表征。     

图-图干扰范式中语义效应的眼动研究*

采用眼动方法,在图-图干扰范式中探讨了干扰图的频率和语义类型对语义判断的影响。结果发现:(1)语义一致性的主效应显著,与目标图语义一致的干扰图获得的注视时间长于与目标图语义不一致的干扰图,证实了语义干扰效应的存在,与Dell的交互激活模型相吻合。(2)干扰图命名的词汇频率主效应不显著,未发现显著的频率效应,对词汇选择竞争假设提出质疑。     

汉字识别的计算机模拟

本文总结了作者近年来在连结主义的理论框架下 ,用计算机模拟汉字识别的工作。文章分三部分。第一部分说明了计算机模拟与人工智能的关系。第二部分介绍了作者提出的两个模型 :汉字识别与命名的连结主义模型和基于语义的词汇判断的计算模型。两个模型分别成功地模拟了汉字识别中的频率效应、形声字读音中的规则效应、声旁效应、语义启动效应、语境与频率的交互作用等。第三部分讨论了模拟工作的意义、分布表征、学习算法等问题。研究表明 :认知的计算机模拟能验证人类认知实验的结果 ,对结果提出合理的解释 ,并能指导进一步的实验研究。     

汉语词汇习得的年龄效应：语义假设的证据

通过三个实验考察了词汇加工中的习得年龄效应。实验一对比了汉字命名和图片命名中词汇习得的年龄效应,发现图片命名中存在着较大的词汇习得的年龄效应,汉字命名中没有出现这种效应。实验二和实验三分别采用语义范畴判断任务和图片语义分类任务,两个实验均发现了词汇习得的年龄效应。实验结果说明,词汇习得的年龄效应至少部分来源于语义加工的层次,结果支持了语义假设的观点     

非熟练中—英双语者跨语言长时重复启动效应

采用跨语言长时重复启动研究范式进一步探讨非熟练中－英双语者的记忆表征模型。被试为华南师范大学大一本科生共140名。实验自变量是语言条件（同语言和跨语言）和学习状况（学习过的和未学习过的）,实验因变量是单词判断的反应时和正确率。实验1中被试在学习和测验阶段都完成概念任务,结果表明获得了跨语言长时重复启动效应。实验2中被试在学习和测验阶段完成词汇任务,结果表明没有获得跨语言长时重复启动效应。实验3中被试在学习阶段完成概念任务,在测验阶段完成词汇任务,结果表明没有获得跨语言长时重复启动效应。实验4中在学习阶段的概念任务中呈现汉语单字词,在测验阶段的词汇任务中呈现英语翻译对等词,结果表明没有获得跨语言长时重复启动效应。总的实验结果表明,在基于内隐记忆的跨语言重复启动的范式下,非熟练中－英双语者的记忆表征支持概念表征共享、词汇表征分离的观点。更重要的是,非熟练中－英双语者需要经由汉语翻译对等词的词汇表征,才能通达英语单词的概念表征,支持了词汇连接模型的观点     

中国大学生第二语言知识的心理表征特征

采用启动效应的实验范式,基于不同加工水平的词汇判断任务,通过变化启动刺激与目标刺激的4个实验,考察了中国大学生第二语言知识的心理表征特征。被试为第二军医大学的学生38名。结果发现:在基于语义的范畴判断任务中,当启动刺激(英)和目标刺激(英)之间存在语义联想关系,得到了显著的启动效应(实验一);当启动刺激(英)和目标刺激(英)之间存在语音相同或相近关系,也得到了显著的启动效应(实验二);但在基于语音的词汇判断任务中,当启动刺激(英)和目标刺激(英)之间存在语义联想关系,没有得到启动效应(实验三);而当启动刺激(英)和目标刺激(英)之间存在语音相同或相近关系,得到了显著的启动效应(实验四)。这一结果表明,对于中国大学生程度的中英双语者来说,其第二语言(英语)知识的心理表征特征为:①语义联想特征和语音联想特征,符合激活扩散模型;②第二语言知识的心理表征,不仅在概念语义层有着联系,而且在词汇表征层也有相互的联系;其词汇表征层和语义概念表征层是分层表征的。     

A distributed, developmental model of word recognition and naming

A parallel distributed processing model of visual word recognition and pronunciation is described. The model consists of sets of orthographic and phonological units and an interlevel of hidden units. Weights on connections between units were modified during a training phase using the back-propagation learning algorithm. The model simulates many aspects of human performance, including (a) differences between words in terms of processing difficulty, (b) pronunciation of novel items, (c) differences between readers in terms of word recognition skill, (d) transitions from beginning to skilled reading, and (e) differences in performance on lexical decision and naming tasks. The model's behavior early in the learning phase corresponds to that of children acquiring word recognition skills. Training with a smaller number of hidden units produces output characteristic of many dyslexic readers. Naming is simulated without pronunciation rules, and lexical decisions are simulated without accessing word-level representations. The performance of the model is largely determined by three factors: the nature of the input, a significant fragment of written English; the learning rule, which encodes the implicit structure of the orthography in the weights on connections; and the architecture of the system, which influences the scope of what can be learned.     

Are lexical decisions a good measure of lexical access? The role of word frequency in the neglected decision stage

Three experiments investigated the impact of five lexical variables (instance dominance, category dominance, word frequency, word length in letters, and word length in syllables) on performance in three different tasks involving word recognition: category verification, lexical decision, and pronunciation. Although the same set of words was used in each task, the relationship of the lexical variables to reaction time varied significantly with the task within which the words were embedded. In particular, the effect of word frequency was minimal in the category verification task, whereas it was significantly larger in the pronunciation task and significantly larger yet in the lexical decision task. It is argued that decision processes having little to do with lexical access accentuate the word-frequency effect in the lexical decision task and that results from this task have questionable value in testing the assumption that word frequency orders the lexicon, thereby affecting time to access the mental lexicon. A simple two-stage model is outlined to account for the role of word frequency and other variables in lexical decision. The model is applied to the results of the reported experiments and some of the most important findings in other studies of lexical decision and pronunciation.     

The nature of the syllabic neighbourhood effect in French

We investigated whether and how sublexical units such as phonological syllables mediate access to the lexicon in French visual word recognition. To do so, two lexical decision task (LDT) experiments examined the nature of the syllabic neighbourhood effect. In Experiments 1a and b, the number of higher frequency syllabic neighbours was manipulated while controlling for the first bigram. The results failed to show a pure syllabic neighbourhood effect. In Experiments 2a and b, syllabic neighbourhood and bigram frequency were factorially manipulated. The interaction showed that the syllabic neighbourhood effect was inhibitory when bigram frequency was high, whereas it was facilitatory when bigram frequency was low. Similar patterns of results were found in both the yes/no (Experiments 1a and 2a) and go/no-go LDTs (Experiments 1b and 2b), so varying task requirements of the lexical decision did not influence the effect. These findings are discussed in the context of parallel distributed processing and interactive-activation models, and suggest that orthographic redundancy properties contribute to the influence of phonological syllables.     

Orthographic neighborhood and concreteness effects in the lexical decision task

The experiment reported here investigated the sensitivity of concreteness effects to orthographic neighborhood density and frequency in the visual lexical decision task. The concreteness effect was replicated with a sample of concrete and abstract words that were not matched for orthographic neighborhood features and in which concrete words turned out to have a higher neighborhood density than abstract words. No consistent effect of concreteness was found with a sample of concrete and abstract words matched for orthographic neighborhood density and frequency and having fewer neighbors and higher-frequency neighbors than the words of the first sample. Post hoc analyses of the results showed that orthographic neighborhood density was not a nuisance variable producing a spurious effect of concreteness but, instead, that the existence of higher-frequency neighbors constitutes a necessary condition for concreteness effects to appear in the lexical decision task. This finding is consistent with the hypothesis that semantic information is accessed and used to generate the responses in lexical decision when inhibition from orthographic forms delays the target word recognition.     

Frequency,not age of acquisition,affects Italian word naming

The purpose of this study was to evaluate the claim that age of acquisition (AoA) and word frequency effects are reduced or nonexistent in languages that have very regular letter-to-sound mappings, like Italian. The first two experiments (Exp. 1, Exp. 2) showed that frequency variables affect reading aloud and lexical decision in Italian. Variables interpretable as pertaining to a semantic component, including AoA, affected lexical decision but not reading aloud. In Experiments 3 and 4, a measure of frequency—child written word frequency (ChFreq)—and AoA were manipulated. Reading performance was affected by word frequency but not by AoA (Exp. 3), whereas lexical decision was affected by both variables (Exp. 4). In Experiments 5 and 6, ChFreq and AoA were manipulated orthogonally. Only frequency affected reading aloud, with no main effect or interaction involving AoA (Exp. 5). The effects of AoA and frequency interacted in Experiment 6 for lexical decision due to a larger effect of AoA for low frequency words than high frequency words. These results show that in languages with a transparent orthography word frequency may affect reading aloud in the absence of an effect of AoA because Italian readers employ lexical nonsemantic reading aloud. The effect of child written frequency points to the efficiency of the mappings between those orthographic and phonological word forms that were frequently encountered when learning to read.     

The Role of Orthographic Neighborhood Size Effects in Chinese Word Recognition

Previous studies about the orthographic neighborhood size (NS) in Chinese have overlooked the morphological processing, and the co-variation between the character frequency and the the NS. The present study manipulated the word frequency and the NS simultaneously, with the leading character frequency controlled, to explore their influences on word lexical decision (Experiment 1) and naming (Experiment 2). The results showed a robust effect that words with a larger NS produced shorter reaction time than those with a smaller NS, irrespective of the word frequency and the tasks. This facilitative effect may occur due to a semantic network formed by neighbor words, resulting in the semantic activation to accelerate the word recognition. Moreover, the comparison of the effect sizes of word frequency between the two tasks showed that lexical decision responses demonstrated a larger word frequency effect, indicating that the sub-word processing was involved in the multi-character word recognition.     

Moving beyond Coltheart’s <Emphasis Type="Italic">N</Emphasis>: A new measure of orthographic similarity

Visual word recognition studies commonly measure the orthographic similarity of words using Coltheart’s orthographic neighborhood size metric (ON). Although ON reliably predicts behavioral variability in many lexical tasks, its utility is inherently limited by its relatively restrictive definition. In the present article, we introduce a new measure of orthographic similarity generated using a standard computer science metric of string similarity (Levenshtein distance). Unlike ON, the new measure—named orthographic Levenshtein distance 20 (OLD20)—incorporates comparisons between all pairs of words in the lexicon, including words of different lengths. We demonstrate that OLD20 provides significant advantages over ON in predicting both lexical decision and pronunciation performance in three large data sets. Moreover, OLD20 interacts more strongly with word frequency and shows stronger effects of neighborhood frequency than does ON. The discussion section focuses on the implications of these results for models of visual word recognition.     

Gradients versus dichotomies: How strength of semantic context influences event-related potentials and lexical decision times

In experiments devoted to word recognition and/or language comprehension, reaction time in the lexical decision task is perhaps the most commonly used behavioral dependent measure, and the amplitude of the N400 component of the event-related potential (ERP) is the most common neural measure. Both are sensitive to multiple factors, including frequency of usage, orthographic similarity to other words, concreteness of word meaning, and preceding semantic context. All of these factors vary continuously. Published results have shown that both lexical decision times and N400 amplitudes show graded responses to graded changes of word frequency and orthographic similarity, but a puzzling discrepancy in their responsivity to the strength of a semantic context has received little attention. In three experiments, we presented pairs of words varying in the strengths of their semantic relationships, as well as unrelated pairs. In all three experiments, N400 amplitudes showed a gradient from unrelated to weakly associated to strongly associated target words, whereas lexical decision times showed a binary division rather than a gradient across strengths of relationship. This pattern of results suggests that semantic context effects in lexical decision and ERP measures arise from fundamentally different processes.     

The influence of visualization of orthography on the recognition of written words]

This paper reviews the main research that has been conducted on the role of orthographic neighbourhood in visual word recognition. We focus here on the traditionally defined neighbourhood, that is corresponding to the set of words of the same length sharing all but one letter with the stimulus. Two major theoretical frameworks, namely the activation verification and the interactive activation models, assume that orthographic neighbours are activated when a written word is presented. Predictions formulated by both models for words and pseudowords on the effects of neighbourhood size (N), neighbourhood frequency (NF), and neighbourhood distribution (P), are examined in order to assess the plausibility of serial versus interactive processes. Findings from 27 empirical studies including more than 80 experiments suggest that neighbourhood effects depend on the neighbourhood indexes (N, NF, and P), on the particular tasks (lexical decision, naming, semantic categorization, perceptual identification, and reading), and on the languages (English, French, Spanish, and Dutch) that are used. The results for words can be summarized as follows: (1) In the lexical decision task, the N effect is facilitatory. The NF effect is rather inhibitory, particularly in French and Spanish experiments. The P effect is rather inhibitory in English studies, whereas the P effect for higher frequency neighbours is facilitatory in French. (2) In the perceptual identification task with a single identification response, N and NF effects are inhibitory whatever the language. (3) In the naming task, N and NF effects are facilitatory whatever the language. (4) In the semantic categorization task, an interaction effect between N and NF is found in both English and Spanish. (5) In eye movement studies, the NF effect is inhibitory in both English and French. The issue of lexical versus task-specific processes underlying neighbourhood effects in lexical identification tasks is also examined. On the whole, facilitatory N effects are usually attributed to nonlexical processes of the lexical decision task and of the naming task, whereas inhibitory neighbourhood frequency effects are usually attributed to lexical processes, at least in lexical-decision experiments and in eye-movement studies on normal reading. The distribution of higher frequency neighbours which is found to have a facilitatory effect on French words in lexical-decision experiments can be attributed to lexical processes in the interactive activation framework. The theoretical implications of the data are discussed in light of the original activation verification and interactive activation models and in recently extended versions of these models. We conclude that the lexical inhibition hypothesis which is central in the interactive activation framework is the most appropriate to account for the role of orthographic neighbourhoods in visual word recognition.     

Age-Specific Effects of Lexical–Semantic Networks on Word Production

The lexical–semantic organization of the mental lexicon is bound to change across the lifespan. Nevertheless, the effects of lexical–semantic factors on word processing are usually based on studies enrolling young adult cohorts. The current study aims to investigate to what extent age-specific semantic organization predicts performance in referential word production over the lifespan, from school-age children to older adults. In Study 1, we conducted a free semantic association task with participants from six age-groups (ranging from 10 to 80 years old) to compute measures that capture age-specific properties of the mental lexicon across the lifespan. These measures relate to lifespan changes in the Available Richness of the mental lexicon and in the lexical–semantic Network Prototypicality of concrete words. In Study 2, we used the collected data to predict performance in a picture-naming task on a new group of participants within the same age-groups as for Study 1. The results show that age-specific semantic Available Richness and Network Prototypicality affect word production speed while the semantic variables collected only in young adults do not. A richer and more prototypical semantic network across subjects from a given age-group is associated with faster word production speed. The current results indicate that age-specific semantic organization is crucial to predict lexical–semantic behaviors across the lifespan. Similarly, these results also provide cues to the understanding of the lexical–semantic properties of the mental lexicon and to lexical selection in referential tasks.