Semantic and phonological influences on visual word learning in a transparent language

Orthographic representations of words are indispensable for reading fluency. The ways in which these representations are developed and their resistance to decay are hotly debated topics. The aim of this study was to investigate the influence of semantic and phonological representations on the formation of orthographic representations in a transparent orthography. In order to achieve this objective, an experiment with three conditions was carried out. In the first condition, a group of university students were asked to repeatedly read 10 new words after semantic and phonological training, in the second condition another group of participants read the new words after phonological training, and in the third condition participants read without previous training. Finally, a follow-up session was performed to test the resistance to decay of the orthographic representations. The results showed that participants who had received semantic training formed the representations faster than participants in the other conditions, as indicated by the decrease in length effect. These results indicate the important role of previous knowledge when people face new written words. A month later these orthographic representations still remained in the lexicon of the participants.     

Judging the animacy of words: The influence of typicality and age of acquisition in a semantic decision task

The age at which members of a semantic category are learned (age of acquisition), the typicality they demonstrate within their corresponding category, and the semantic domain to which they belong (living, non-living) are known to influence the speed and accuracy of lexical/semantic processing. So far, only a few studies have looked at the origin of age of acquisition and its interdependence with typicality and semantic domain within the same experimental design. Twenty adult participants performed an animacy decision task in which nouns were classified according to their semantic domain as being living or non-living. Response times were influenced by the independent main effects of each parameter: typicality, age of acquisition, semantic domain, and frequency. However, there were no interactions. The results are discussed with respect to recent models concerning the origin of age of acquisition effects.     

Semantic segmentation via highly fused convolutional network with multiple soft cost functions

Semantic image segmentation is one of the most challenging tasks in computer vision. In this paper, we propose a highly fused convolutional network, which consists of three parts: downsampling, fused upsampling and multiple predictions. We adopt a VGG-net based downsampling structure, followed by multiple steps of upsampling. Feature maps in each pair of corresponding pooling layers and unpooling layers are combined. We also bring out multiple pre-outputs, each is generated from an unpooling layer by a one-step upsampling operation. Finally, we concatenate these pre-outputs to get the final output. As a result, our proposed network makes high use of the feature information by fusing and reusing features in low layers. In addition, when training our model, we add multiple soft cost functions on pre-outputs and the final output. In this way, we can reduce the loss reduction in backpropagation. We evaluate our model on three public segmentation datasets: CamVid, PASCAL VOC, and ADE20K. We achieve considerable segmentation performance on PASCAL VOC dataset and ADE20K dataset. Especially on CamVid dataset, we achieve state-of-the-art performance.     

The semantic pointer theory of emotion: Integrating physiology,appraisal, and construction

Emotion theory needs to explain the relationship of language and emotions, and the embodiment of emotions, by specifying the computational mechanisms underlying emotion generation in the brain. We used Chris Eliasmith’s Semantic Pointer Architecture to develop POEM, a computational model that explains numerous important phenomena concerning emotions, including how some stimuli generate immediate emotional reactions, how some emotional reactions depend on cognitive evaluations, how bodily states influence the generation of emotions, how some emotions depend on interactions between physiological inputs and cognitive appraisals, and how some emotional reactions concern syntactically complex representations. We contrast our theory with current alternatives, and discuss some possible applications to individual and social emotions.     

语义信息复杂度对二语者英语被动句加工的影响

采用英语所独有且非常重要的句法结构——被动语态作为语言材料,选取某些可以在句子中的词汇顺序基本没有变化的情况下转换为汉语句式（汉语“被”字句）的“直译型”被动句以及必须根据其意义进行句式转换方能形成相应的汉语句式（汉语主动句）的“意译型”被动句作为实验材料,探讨了在动词语义复杂条件下二语熟练度（包括晚期中等熟练者和高熟练者）对被动句加工过程的影响。结果表明：高熟练者正确率均高于中等熟练者,说明在动词语义复杂的情况下熟练度依然可以预测英语被动句实时加工的程度和水平。此时,语义违例的正确率最高、反应时最短,句法违例句则与之相反。双违例引发的N400效应显著,正确句和句法违例均未引发负向的N400;高熟练者P600的波幅明显高于中等熟练者,句法违例和双违例引发的P600效应最显著。行为指标支持语言间句法加工相似性效应——直译句反应快、正确率高。ERP数据则得出了与之相反的结果：直译句比意译句诱发出更大的N400效应,意译句则引发了较大的P600。上述结果进一步说明二语熟练度对语言间句法加工相似性效应具有很强的调节作用。     

Re-framing the characteristics of concepts and their relation to learning and cognition in artificial agents

In this work, the problems of knowledge acquisition and information processing are explored in relation to the definitions of concepts and conceptual processing, and their implications for artificial agents.The discussion focuses on views of cognition as a dynamic property in which the world is actively represented in grounded mental states which only have meaning in the action context. Reasoning is understood as an emerging property consequence of actions-environment couplings achieved through experience, and concepts as situated and dynamic phenomena enabling behaviours.Re-framing the characteristics of concepts is considered crucial to overcoming settled beliefs and reinterpreting new understandings in artificial systems.The first part presents a review of concepts from cognitive sciences. Support is found for views on grounded and embodied cognition, describing concepts as dynamic, flexible, context-dependent, and distributedly coded.That is argued to contrast with many technical implementations assuming concepts as categories, whilst explains limitations when grounding amodal symbols, or in unifying learning, perception and reasoning.The characteristics of concepts are linked to methods of active inference, self-organization, and deep learning to address challenges posed and to reinterpret emerging techniques.In a second part, an architecture based on deep generative models is presented to illustrate arguments elaborated. It is evaluated in a navigation task, showing that sufficient representations are created regarding situated behaviours with no semantics imposed on data. Moreover, adequate behaviours are achieved through a dynamic integration of perception and action in a single representational domain and process.     

Do individuals with autism process words in context? Evidence from language-mediated eye-movements

It is widely argued that people with autism have difficulty processing ambiguous linguistic information in context. To investigate this claim, we recorded the eye-movements of 24 adolescents with autism spectrum disorder and 24 language-matched peers as they monitored spoken sentences for words corresponding to objects on a computer display. Following a target word, participants looked more at a competitor object sharing the same onset than at phonologically unrelated objects. This effect was, however, mediated by the sentence context such that participants looked less at the phonological competitor if it was semantically incongruous with the preceding verb. Contrary to predictions, the two groups evidenced similar effects of context on eye-movements. Instead, across both groups, the effect of sentence context was reduced in individuals with relatively poor language skills. Implications for the weak central coherence account of autism are discussed.     

How young children judge whether a word is one they know: a dual criterion account

Word familiarity judgment may be important for word learning, yet little is known about how children make this judgment. We hypothesized that preschool-age children differ in the judgment criteria that they use and that this difference derives from individual differences in basic memory processes. Those who have superior phonological working memory, but who retrieve less semantic information than their peers, base the judgment on whether they recognize a word’s sound form. Those who show the opposite memory profile base the judgment on whether they retrieve a word’s meaning. The results of two studies of 3- and 4-year-olds were consistent with these claims. Among those performing poorly on one memory measure, judgment accuracy was directly related to performance on the other memory measure. These memory-judgment relations were also found to be highly specific. This is the first investigation to demonstrate the usefulness of an individual differences approach for identifying relations between linguistic judgment processes and basic memory processes during early childhood.     

Information Retrieval in Tip of the Tongue States: New Data and Methodological Advances

Research on Tip of the Tongue (ToT) states has been used to determine whether access to syntactic information precedes access to phonological information. This paper argues that previous studies have used insufficient analyses when investigating the nature of seriality of access. In the first part of this paper, these complex issues are discussed and suitable analyses proposed. In the second part, new experimental data are presented. In Experiment 1, English speakers were asked to give information about mass/count status and initial phoneme of nouns, when in a ToT state. In Experiment 2, German speakers were asked to report grammatical gender and initial phoneme of nouns, when in a ToT state. Evidence that syntactic and phonological information are accessed independently was obtained for both languages. Implications for models of language production and further methodological issues in ToT research are discussed.     

The Role of Semantic Features in Verb Processing

The present study examined the general hypothesis that, as for nouns, stable representations of semantic knowledge relative to situations expressed by verbs are available and accessible in long term memory in normal people. Regular associations between verbs and past tenses in French adults allowed to abstract two superordinate semantic features in the representation of verb meaning: durativity and resultativity. A pilot study was designed to select appropriate items according to these features: durative, non-resultative verbs and non-durative, resultative verbs. An experimental study was then conducted to assess semantic priming in French adults with two visual semantic-decision tasks at a 200- and 100-ms SOA. In the durativity decision task, participants had to decide if the target referred to a durable or non-durable situation. In the resultativity decision task, they had to decide if it referred to a situation with a directly observable outcome or without any clear external outcome. Targets were preceded by similar, opposite, and neutral primes. Results showed that semantic priming can tap verb meaning at a 200- and 100-ms SOA, with the restriction that only the positive value of each feature benefited from priming, that is the durative and resultative values. Moreover, processing of durativity and resultativity is far from comparable since facilitation was shown on the former with similar and opposite priming, whereas it was shown on the latter only with similar priming. Overall, these findings support Le Ny’s (in: Saint-Dizier, Viegas (eds) Computational lexical semantics, 1995; Cahier de Recherche Linguistique LanDisCo 12:85–100, 1998; Comment l’esprit produit du sens, 2005) general hypothesis that classificatory properties of verbs could be interpreted as semantic features and the view that semantic priming can tap verb meaning, as noun meaning.