教学课程资源库 更多>>

关键词： 儿童   心理语言学   语言习得   语言发展   影响因素  

摘要： 儿童心理语言学是儿童心理学和儿童言语学的交叉学科，主要通过观察法、实验法等科学方法研究儿童言语的心理过程和运作的心理机制，并揭示儿童言语的内在发展规律和特点，是心理语言学的重要研究内容。本文主要系统地介绍了国内外研究及其现状、研究对象和研究方法，并讨论了影响其发展的因素及其发展前景，以期为该领域研究提供借鉴。

关键词： 生态语言学   新冠疫情   热词   和谐社会  

摘要： 2020年,一场突如其来的新冠疫情牵动着全国人民的心。在新冠疫情的生态环境下,一批带有疫情"烙印"的热词异军突起。文章以疫情期间产生的热词为研究对象,在生态语言学视角下,从热词的内外生态系统对其特征进行全面描写和解释,系统分析疫情下热词使用的原因和影响,促进人们在重大突发事件中对热词的生成和理解的认识,有助于敦促人们在重大突发事件中的用词规范,维持语言的和谐生态,从而促进社会的生态和谐。

关键词： 政治传播语言学   价值观   事件哲学   新言语行为分析  

摘要： 政治传播语言学并非既有的政治学、传播学、语言学研究的简单叠加,而是根据对于"政治""传播""语言"的重新定义获得的一种新的理论范式。现代政治(已然)是为了某个群体利益的行动,更(应然)是不同利益集团为了实现自我利益最大化和全球共同体的共同利益与可持续发展的非零和博弈;传播不仅是发布消息,更是沟通社会、建构社会的信息事件;语言不仅是词句,更是一个行为,不仅意味着日常的行为,更意味着一种社会的实践。政治传播语言学就是运用语言分析、媒介分析、政策分析等一系列技术(方法),研究语言的传播何以影响公共知识、社会信仰和政治行动(问题),以促进不同的利益集团达成信仰互文、政治协商、社会共识的理论探索(目标)。

关键词： 命名方式   社会因素   社会语言学  

摘要： 名字不仅是一个符号,也是一种社会现象。名字中寄托着不同家庭的理想和愿景,折射出不同文化的差异,并蕴含着时代的变化。该文选取《向往的生活》第一季第一集中的嘉宾、主持人及其所提及的亲属的姓名作为研究对象,旨在总结命名方式,并探讨影响命名的社会因素。

关键词： 实践   语言   教学  

摘要： “语言学概论”课程的地位与教学效果形成鲜明反差,为此笔者认为首先增加实践性内容,以提高对语言作品的分析、鉴赏能力及写作能力。其次,教学方法上注重启发性与实践性。课内安排教学演练,加强互动学习。课内外注重精讲多练和实践调查。最后大力推行基本理论、基础知识与实践教学并重的多样化考核改革。

摘要： "第二十届中国计算语言学大会"CCL 2021(The Twentieth China National Conference on Computational Linguistics)将于2021年8月13-15日在呼和浩特市举行,会议由内蒙古大学承办。中国计算语言学大会创办于1991年,由中国中文信息学会计算语言学专业委员会负责组织。经过近30年的发展,中国计算语言学大会已成为国内自然语言处理领域权威性最高、规模和影响最大的学术会议。

关键词： 象似性   政治演说   语用效果   政策变动/延续  

摘要： 本文拟运用语言象似性理论,以距离象似性、数量象似性等原则解读美国总统拜登就职演说,意在分析象似性的运用所产生的演说文体效果,对于政治意图的分析揣摩以及演讲技巧的学习具有一定意义。对此篇政治演说的分析表明,中国需要小心应对美国新一任政府的内政外交政策,在维护中美关系大局的同时也要注意维护好自身国家利益。

摘要： With an ageing global community and widening socio-cultural diversity, nurse educators are increasingly challenged to align responsive undergraduate nursing curricula to rapidly changing healthcare environments. In future-proofing nurse education, educators need to collectively examine ways of interconnecting and developing gerontological and cultural competence within undergraduate curricula. However, there is limited guidance as to how this can be achieved in already compacted curricula. We suggest that this could be achieved by critically examining undergraduate curricula to make explicit how they can be adapted to educate nurses in the provision of culturally competent person-centred care. This approach could help nurse educators adapt student nurse preparation to meet the needs of culturally diverse older people and their families.

关键词： Misogyny detection   Text classification   Natural language processing   Machine-learning  

摘要： Online social networks allow powerless people to gain enormous amounts of control over particular people's lives and profit from the anonymity or social distance that the Internet provides in order to harass other people. One of the most frequently targeted groups comprise women, as misogyny is, unfortunately, a reality in our society. However, although great efforts have recently been made to identify misogyny, it is still difficult to distinguish as it can sometimes be very subtle and deep, signifying that the use of statistical approaches is not sufficient. Moreover, as Spanish is spoken worldwide, context and cultural differences can complicate this identification. Our contribution to the detection of misogyny in Spanish is two-fold. On the one hand, we apply Sentiment Analysis and Social Computing technologies for detecting misogynous messages in Twitter. On the other, we have compiled the Spanish MisoCorpus-2020, a balanced corpus regarding misogyny in Spanish, and classified it into three subsets concerning (1) violence towards relevant women, (2) messages harassing women in Spanish from Spain and Spanish from Latin America, and (3) general traits related to misogyny. Our proposal combines a classification based on average word embeddings and linguistic features in order to understand which linguistic phenomena principally contribute to the identification of misogyny. We have evaluated our proposal with three machine-learning classifiers, achieving the best accuracy of 85.175%. Finally the proposed approach is also validated with existing corpora for misogyny and aggressiveness detection such as AMI and HatEval obtaining good results (C) 2020 Elsevier B.V. All rights reserved.

关键词： Group decision making   Alpha-cut   Consensus measure   Hesitant fuzzy linguistic preference relation   Qualitative decision making  

摘要： The hesitant fuzzy linguistic term set, which is characterized by a set of possible linguistic terms, becomes a useful tool to describe the complex cognitions of experts. In many cases, it is much more flexible for experts to provide evaluation information via pairwise comparisons rather than give their evaluation information on options directly. In this regard, the hesitant fuzzy linguistic preference relation (HFLPR) whose elements are hesitant fuzzy linguistic elements was introduced. Besides, to make a reasonable decision, a group of experts are usually involved in practice and thus how to reach an agreement among experts whose perceptions are represented by HFLPRs turns to be significantly important. To meet this challenge, in this study, we propose a novel consensus measure for group decision making with HFLPRs. Firstly, we define an alpha-cut-based method to calculate the similarities among different hesitant fuzzy linguistic evaluations and then develop an alpha-cut-based consensus measure for group decision making with HFLPRs. By converting the linguistic terms of hesitant fuzzy linguistic elements into numerical values of 0 or 1, the consensus measure can be simplified. Finally, to illustrate the effectiveness of the method, we apply it to a practical case study. A comparative analysis is provided to demonstrate the advantages and significance in practical applications of the proposed method. (C) 2020 Elsevier B.V. All rights reserved.