象似性研究新进展——Language and Cognition杂志2019—2020专刊述评

基于剑桥大学出版社出版的认知语言学权威期刊Language and Cognition所刊发的10篇象似性论文,本文深度描写、分析并展望象似性研究的国际前沿现状,并对该辑专刊进行述评。结果发现,近年来国外象似性研究主要集中于象似性理论的跨学科研究、手语语言学及其应用与实践等领域。上述发现不但有助于揭示语言与认知的关系,而且对于国内学者把握国际象似性研究的最新进展具有一定的参考意义。

An Intervention Study of Language Cognition and Emotional Speech Community Method for Children’s Speech Disorders

Speech disorders are a common type of childhood disease.Through experimental intervention,this study aims to improve the vocabulary comprehension levels and language ability of children with speech disorders through the language cognition and emotional speech community method.We also conduct a statistical analysis of the inter-ventional effect.Among children with speech disorders in Dongguan City,224 were selected and grouped accord-ing to their receptive language ability and IQ.The 112 children in the experimental group(EG)received speech therapy with language cognitive and emotional speech community,while the 112 children in the control group(CG)only received conventional treatment.After six months of experimental intervention,the Peabody Picture Vocabulary Test-Revised(PPVT-R)was used to test the language ability of the two groups.Overall,we employed a quantitative approach to obtain numerical values,examine the variables identified,and test hypotheses.Further-more,we used descriptive statistics to explore the research questions related to the study and statistically describe the overall distribution of the demographic variables.The statistical t-test was used to analyze the data.The data shows that after intervention through language cognition and emotional speech community therapy,the PPVT-R score of the EG was significantly higher than that of the CG.Therefore,we conclude that there is a significant difference in language ability between the EG and CG after the therapy.Although both groups improved,the post-therapy language level of EG is significantly higher than that of CG.The total effective rate in EG is higher than CG,and the difference is statistically significant(p<0.05).Therefore,we conclude that the language cogni-tion and emotional speech community method is effective as an interventional treatment of children’s speech dis-orders and that it is more effective than traditional treatment methods.

Mixed Method in Language Learner Cognition

Research on mixed method has made great development.In order to explore the practical application of mixed method,this article starts from the perspective of language learner cognition and selects The Modern Language Journal and Language Teaching Research as the research journals.It explores some empirical papers that used mixed method to learn the specific research designs of mixed method as well as the main means of its application.The study finds that mixed method has been applied in several fields and is more scientifically reliable than qualitative and quantitative methods especially in language learner cognition,and the different research tools used in the field of language learner cognition demonstrate the flexibility and relevance of mixed method data collection.

Research on the Current Situation of Development of Phenomenology and the Influences on Language Cognition

In this paper, we conduct research on current situation of development of phenomenology and the influences on language cognition. Language is a part of human cognition, it not only by the group, including cultural types and communication mode, objective social constraints, as also shared with human cognitive subject and the innate cognitive ability is closely related. Thus, the perspective of the cognitive linguistics and the cognitive introduced for expanding and deepening the research on cognitive linguistics has an important value. From the cognitive perspective and reveals language internalization mechanism is an important path to deepen the study of second language acquisition. So, with multidimensional research value and cognition, can provide important theoretical reference for language internalization. At the same time, the body cognitive is not the purpose of people, but merely a device methods or strategies. That is to say, those who have an information, experience and knowledge module, just as the main body of language cognition of raw materials, they need by the consciousness of main body of the higher order language system to filter, restructuring, deformation and consolidation, and language simulation of this new product for the secondary and experience.

A Review of Studies on Bilingual Children＇s Word Awareness Development

Bilingual children＇ s word awareness can reflect the impact of bilingualism on language cognition from the aspect of psycholinguistics. The current studies on bilingual children＇s word awareness both at home and abroad show that there exist quite opposite points of views： bilingual disadvantage and bilingual advantage. The interpretation mechanisms of interference effect, word frequency, and mutual exclusivity constraint are used to support the bilingual disadvantage; while the interpretation mechanisms of bilingual advantage include sound coding, short-term memory, and inhibitory control. In effect, there is no negative impact of bilingualism on children＇s word awareness, and the so-called negative effects only exist on the theoretical aspect of research. The development of children＇s word awareness is influenced by many factors including age of acquisition, learning environment, and bilingual proficiency, etc.

How to Teach Vocabulary in a Communicative Classroom

In this paper, the author demonstrates that among a host of methods and approaches, Communicative Language Teaching （CLT） is most effective in teaching lexical part of the language system. And how to teach vocabulary in a communicative classroom effectively is well illustrated.

Text Difficulty Study:Do Machines Behave the Same as Humans Regarding Text Difficulty?

With the emergence of pre-trained models,current neural networks are able to give task performance that is comparable to humans.However,we know little about the fundamental working mechanism of pre-trained models in which we do not know how they approach such performance and how the task is solved by the model.For example,given a task,human learns from easy to hard,whereas the model learns randomly.Undeniably,difficulty-insensitive learning leads to great success in natural language processing(NLP),but little attention has been paid to the effect of text difficulty in NLP.We propose a human learning matching index(HLM Index)to investigate the effect of text difficulty.Experiment results show:1)LSTM gives more human-like learning behavior than BERT.Additionally,UID-SuperLinear gives the best evaluation of text difficulty among four text difficulty criteria.Among nine tasks,some tasks’performance is related to text difficulty,whereas others are not.2)Model trained on easy data performs best in both easy and medium test data,whereas trained on hard data only performs well on hard test data.3)Train the model from easy to hard,leading to quicker convergence.