中文词汇加工中的饱和现象

长时间注视一个字或词语后,感觉这个字词变得奇怪且陌生,这种现象称为饱和现象。本研究采用快速类别/词汇匹配范式,考察中文词汇加工中的饱和现象。实验1-3发现单纯的语义或字形的重复均未能引发饱和,只有类别标签在字形和语义上的同时重复才引发饱和,表明与英文饱和相似,中文饱和发生在字形加工和语义加工的联结阶段。实验4结果表明,中文饱和还能够由表义部件的重复引发,体现了中文饱和的特殊性。     

On the Normativity of Intentions

Suppose you intend now to φ at some future time t. However, when t has come you do not φ. Something has gone wrong. This failing is not just a causal but also a normative failing. This raises the question how to characterize this failing. I discuss three alternative views. On the first view, the fact that you do not execute your intention to φ is blameworthy only if the balance of reasons pointed to φ-ing. The fact that you intended to φ does not add to the reasons for φ-ing at t. On the second view, the fact that you do not execute your intention to φ is blameworthy because you violate a requirement of rationality. Both these views have in common that they deny that intending to φ at t creates a reason to φ at t. The third alternative, the one I defend, claims that you often create reasons to φ by intending to φ.     

Adults' Acquisition of Novel Dimension Words: Creating a Semantic Congruity Effect

The semantic congruity effect is exhibited when adults are asked to compare pairs of items from a series, and their response is faster when the direction of the comparison coincides with the location of the stimuli in the series. For example, people are faster at picking the bigger of 2 big items than the littler of 2 big items. In the 4 experiments presented, adults were taught new dimensional adjectives (mal/ler and borg/er). Characteristics of the learning situation, such as the nature of the stimulus series and the relative frequency of labeling, were varied. Results revealed that the participants who learned the relative meaning of the artificial dimensional adjectives also formed categories and developed a semantic congruity effect regardless of the characteristics of training. These findings have important implications for our understanding of adult acquisition of novel relational words, the relationship between learning such words and categorization, and the explanations of the semantic congruity effect.     

序列语义的类别一致性关系能否进行无意识整合？

阈下语义之间能否进行整合,最近的研究给出了不同的结果。当多个阈下语义词语同时呈现时显示出无意识语义整合效应,但是当序列呈现时没有观察到无意识整合效应。本研究在保留同时呈现方法优点（不同空间呈现位置）的情况下研究了序列呈现的不同汉字词语之间能否产生无意识语义类别关系整合。在实验1中,两个相同或不同类别的词语作为阈下启动刺激先后在两侧呈现,且第一个词语消失后第二词语马上出现,结果显示出无意识语义类别整合效应。实验2延长了两个阈下启动词语之间的时间间隔,结果未发现无意识语义类别整合效应。另外,实验3进一步排除了实验1中第一个启动词语的视觉残留,结果也未观察到显著的无意识语义类别整合效应,说明实验1中观察到的无意识整合效应是视觉残留所致。综合三个实验结果表明,两个阈下词语之间的语义类别一致性关系只有在同时呈现这种特殊条件下才能进行无意识整合加工,说明了短时间维度对于无意识语义关系整合的重要性。     

序列语义的类别一致性关系能否进行无意识整合？

阈下语义之间能否进行整合,最近的研究给出了不同的结果。当多个阈下语义词语同时呈现时显示出无意识语义整合效应,但是当序列呈现时没有观察到无意识整合效应。本研究在保留同时呈现方法优点（不同空间呈现位置）的情况下研究了序列呈现的不同汉字词语之间能否产生无意识语义类别关系整合。在实验1中,两个相同或不同类别的词语作为阈下启动刺激先后在两侧呈现,且第一个词语消失后第二词语马上出现,结果显示出无意识语义类别整合效应。实验2延长了两个阈下启动词语之间的时间间隔,结果未发现无意识语义类别整合效应。另外,实验3进一步排除了实验1中第一个启动词语的视觉残留,结果也未观察到显著的无意识语义类别整合效应,说明实验1中观察到的无意识整合效应是视觉残留所致。综合三个实验结果表明,两个阈下词语之间的语义类别一致性关系只有在同时呈现这种特殊条件下才能进行无意识整合加工,说明了短时间维度对于无意识语义关系整合的重要性。     

颜色词素在词义不透明双字词中的语义激活

多词素词的心理表征和和词义激活已成为心理语言学领域的研究热点。目前主要有三种理论:词素分解储存模型、整词储存模型和混合表征模型。针对词义不透明词中词素与整词的关系,利用语义启动和色词干扰的实验范式,对颜色词素在词义不透明双字词中的语义激活进行了研究。结果表明,词义不透明双字词的词素与整词之间存在着心理资源竞争,表现出相互抑制的关系,它们的力量对比随时间变化而改变,出现此消彼长的趋势。研究还表明,多词素词中的词素加工,不仅受词素结构影响,也受词素本身性质影响。由于颜色词素的加工既涉及语义系统,也涉及知觉系统,所以虽然在多词素词中处于附加词素的地位,也具有加工上的优势。     

On Whether we Can See Intentions

Direct Perception is the view that we can see others' mental states, i.e. that we perceive others' mental states with the same immediacy and directness that we perceive ordinary objects in the world. I evaluate Direct Perception by considering whether we can see intentions, a particularly promising candidate for Direct Perception. I argue that the view equivocates on the notion of intention. Disambiguating the Direct Perception claim reveals a troubling dilemma for the view: either it is banal or highly implausible.     

非熟练潮-粤双言者的语义通达：来自听觉词加工的证据

采用听觉跨语言启动的语义判断范式, 考察非熟练潮-粤双言者的两种方言之间的语义通达方式。结果发现, 无论是以潮语词为启动词, 还是以粤语词为启动词, 当二者具有翻译关系时, 启动词均促进对目标词的识别, 但L1对L2的启动量比L2对L1的启动量大。当启动词与目标词具有语义联想关系时, 启动词亦能促进对目标词的识别, 但L1→L2与L2→L1的启动量差异不显著。整个研究表明, 非熟练潮-粤双言者的两种方言的词汇独立表征, 语义共享表征; 第二方言的词汇能够直接通达语义表征, 不需要以第一方言的词汇为中介, 但双言的词汇表征与语义表征的联结强度仍然存在着不对称性。     

汉字词和图片命名与分类的比较

采用命名与分类任务考察了汉字词和图片命名与分类的特点,揭示义符在汉字词和图片命名与分类中的作用。结果表明,汉字词和图片的命名与分类与拼音文字的词和图片的命名和分类既有共性,又有差异。汉字词和图片的命名与分类具有不对称性：汉字词的命名快于汉字词的分类,图片的分类快于图片的命名。义符对于汉字词和图片的命名与分类的影响具有不对称性：对汉字词的加工有重要影响,对图片的加工无影响;对汉字词的分类有重要影响,对汉字词的命名无影响。被试对有标示类别的义符的词的分类显著快于对无标示类别的义符的词的分类,甚至快于对图片的分类。所以如此,与汉字词的结构特点有关。汉字形声字多用义符来标记事物的类别,提供了重要的类别信息。根据上述结果,作者构建了汉字词和图片认知加工的综合模型     

Constructing Semantic Models From Words,Images, and Emojis

A number of recent models of semantics combine linguistic information, derived from text corpora, and visual information, derived from image collections, demonstrating that the resulting multimodal models are better than either of their unimodal counterparts, in accounting for behavioral data. Empirical work on semantic processing has shown that emotion also plays an important role especially in abstract concepts; however, models integrating emotion along with linguistic and visual information are lacking. Here, we first improve on visual and affective representations, derived from state-of-the-art existing models, by choosing models that best fit available human semantic data and extending the number of concepts they cover. Crucially then, we assess whether adding affective representations (obtained from a neural network model designed to predict emojis from co-occurring text) improves the model's ability to fit semantic similarity/relatedness judgments from a purely linguistic and linguistic–visual model. We find that, given specific weights assigned to the models, adding both visual and affective representations improves performance, with visual representations providing an improvement especially for more concrete words, and affective representations improving especially the fit for more abstract words.     

Using Mental Imagery to Enhance the Effectiveness of Implementation Intentions

Past research shows that forming implementation intentions increases the probability of carrying out goals. The present research proposes that mental imagery can strengthen the effects of implementation intentions on goal achievement. Participants were assigned a mundane goal and were randomly assigned to one of two conditions: implementation intentions only or implementation intentions plus mental imagery. Results support the hypothesis that using mental imagery when forming implementation intentions leads to higher rates of goal achievement.     

二语词汇熟悉度在双语者语义通达中的调节作用

先前很多研究表明熟练双语者可以直接通达其二语词汇的概念意义,非熟练双语者需要借助一语词汇间接通达其二语词汇的概念意义,这很可能是双语者二语词汇的熟悉度在其中发挥了调节作用。本研究使用跨语言重复启动范式考察了双语者对不同熟悉程度的二语词汇的语义通达方式。实验１以非熟练中英双语者为被试,实验２以熟练中英双语者为被试。总的结果发现,无论非熟练双语者还是熟练双语者,其在通达二语词汇概念意义时采用哪一种方式受词汇熟悉度的调节,当词汇熟悉度较高时,选择直接通达,当词汇熟悉度较低时,选择间接通达。本研究进一步支持和丰富了晚期双语者双语记忆表征中的语义通达方式从本质上属于经验性变化的观点。     

Proximal Intentions,Non-executed Proximal Intentions and Change of Intentions

This paper investigates the conceptual and empirical possibility of non-executed, non-conscious proximal intentions, i.e., non-conscious proximal intentions to act that do not turn into a final act, but perhaps are vetoed or overcome by an alternative action. It constructs a conceptual framework in which such cases are justifiably considered ‘proximal intentions’. This is achieved by combining Alfred Mele’s notion of non-conscious proximal intentions together with the notion of trying or striving taken from Brian O’Shaughnessy’s model of action. With this framework in hand we analyze empirical electroencephalography (EEG) findings regarding ‘change of intention’ scenarios. Prior to EEG development (and other brain imaging techniques), one would never consider non-executed, non-conscious proximal intentions a case of intention at all. However, with technological and interpretable development of EEG, a whole group of so called ‘intentions’ appears, and the main aim of the paper is to justify this expanded usage.     

中文阅读中副中央凹语义信息的提取：来自ERPs的证据

书面语言阅读过程中, 关于读者能否提取预视词汇的语义信息, 以往的研究仍有争议。鉴于边界技术在研究该问题时具有无法严格控制预视词呈现时间等一些局限性, 近年来有研究者利用ERPs技术结合伴侧RSVP范式对拼音语言中的语义预视效应进行研究。本研究首次将这一方法应用到中文句子阅读中, 并对实验材料进行了更严格的控制, 保证关键屏(目标名词位于右侧副中央凹处)内容在实验条件间完全相同, 避免以往类似研究中关键词自身属性信息对实验结果产生干扰。ERPs数据分析发现, 在关键屏呈现后, 语义违背相比合理条件诱发了更大的N400成分, 而关键后屏(目标名词位于中央凹处)呈现后, 两种条件间的N400成分无显著差异。该结果支持中文句子阅读中预视词汇语义信息可以得到提取, 并参与随后的语义整合过程。     

年龄和性别对气味和词汇的语义识别的不同影响

本研究采用基于人口学特征的大规模取样, 通过线索气味识别测验和词汇测验考察了年龄和性别因素对嗅觉功能和语义知识的影响。1497位健康的成人(35岁~95岁)参与了气味识别和词汇熟练性测验。结果表明年龄对两项测验的成绩都有显著的负面影响, 尽管嗅觉测验的年龄效应更大。女性比男性识别出更多的气味且这种效应与年龄无关, 这进一步证实了先前的观察。本文详细讨论了这些发现的意义。     

Using Speakers' Referential Intentions to Model Early Cross-Situational Word Learning

ABSTRACT— Word learning is a "chicken and egg" problem. If a child could understand speakers' utterances, it would be easy to learn the meanings of individual words, and once a child knows what many words mean, it is easy to infer speakers' intended meanings. To the beginning learner, however, both individual word meanings and speakers' intentions are unknown. We describe a computational model of word learning that solves these two inference problems in parallel, rather than relying exclusively on either the inferred meanings of utterances or cross-situational word-meaning associations. We tested our model using annotated corpus data and found that it inferred pairings between words and object concepts with higher precision than comparison models. Moreover, as the result of making probabilistic inferences about speakers' intentions, our model explains a variety of behavioral phenomena described in the word-learning literature. These phenomena include mutual exclusivity, one-trial learning, cross-situational learning, the role of words in object individuation, and the use of inferred intentions to disambiguate reference.     

Emotional Valence Precedes Semantic Maturation of Words: A Longitudinal Computational Study of Early Verbal Emotional Anchoring

We present a longitudinal computational study on the connection between emotional and amodal word representations from a developmental perspective. In this study, children's and adult word representations were generated using the latent semantic analysis (LSA) vector space model and Word Maturity methodology. Some children's word representations were used to set a mapping function between amodal and emotional word representations with a neural network model using ratings from 9-year-old children. The neural network was trained and validated in the child semantic space. Then, the resulting neural network was tested with adult word representations using ratings from an adult data set. Samples of 1210 and 5315 words were used in the child and the adult semantic spaces, respectively. Results suggested that the emotional valence of words can be predicted from amodal vector representations even at the child stage, and accurate emotional propagation was found in the adult word vector representations. In this way, different propagative processes were observed in the adult semantic space. These findings highlight a potential mechanism for early verbal emotional anchoring. Moreover, different multiple linear regression and mixed-effect models revealed moderation effects for the performance of the longitudinal computational model. First, words with early maturation and subsequent semantic definition promoted emotional propagation. Second, an interaction effect between age of acquisition and abstractness was found to explain model performance. The theoretical and methodological implications are discussed.