Novel Linguistic(新语言学)研究综述
Novel Linguistic 新语言学 - Do novel linguistic labels have privileged access to attentional resources compared to non-linguistic labels? This study explores this possibility through two experiments with a training and an attentional overlap task. [1] To do so, a novel linguistic trust propagation method is proposed to obtain the complete trust relationship among group. [2] In this paper, we propose a novel linguistic steganographic model based on adaptive probability distribution and generative adversarial network, which achieves the goal of hiding secret messages in the generated text while guaranteeing high security performance. [3] Further results over a novel linguistic probe dataset show that there is substantial room for improvement, especially in the cross- domain setting. [4] We examined the associative learning of novel linguistic forms in Japanese as a native language and tastes (candies and chocolates) for healthy people. [5] Results Despite their conceptual and operational differences, both previously established LIWC markers of depression and our novel linguistic indicators of activation were strongly associated with depression scores (Patient Health Questionnaire [PHQ]-9) and longitudinal patient trajectories. [6] In this study, we propose a misinformation dissemination model that includes the direct effects of four novel linguistic characteristics on dissemination and the moderating effect of information richness. [7] Our proposed interactive learning method grants flexible run-time acquisition of novel linguistic forms and real-world information, without training the cognitive model anew. [8] To this end, a novel linguistic decision making method based on the voting model is proposed in the paper, which can be utilized to deal with large-scale linguistic decision making problems with linguistic assessments based on multi linguistic representation models. [9] First, some related concepts and former operators of AIVIFSs, Z-numbers, and trapezium clouds are reviewed, meanwhile, AIVIFSs and Z-numbers are synthesized to come up with a novel linguistic expression. [10] Here, we investigated elderly’s abilities to implicitly pick up novel linguistic constraints in speech production. [11] In this paper, inspired by transfer learning, a novel linguistic steganalysis method is proposed to detect hybrid steganographic texts. [12] The model correctly predicts an increased proportional use of the novel linguistic variants during the period we study. [13] This study aims to construct a more appropriate measurement model of L2 complexity by implementing finer-grained and relatively novel linguistic indices for capturing subordinate constructs that could not be measured by conventional indices. [14] Then, a novel linguistic Pythagorean fuzzy TOPSIS (LPF-TOPSIS) method is proposed to solve multiple attribute decision-making problems. [15] This paper proposes two novel linguistic features extracted from text input for prosody generation in a Mandarin text-to-speech system. [16] This paper presents a novel linguistic analysis of Twitter for exploring regional differences in dialectal variation across Japan. [17] For instance, in a typical experiment (see Figure 1), children are presented with a novel linguistic label (wug) and a novel object. [18] A novel linguistic completing method using similarity and average difference is proposed to deal with the information missing problem, which can make the linguistic evaluation information more compact and the decision results more reasonable. [19]与非语言标签相比，新颖的语言标签是否具有获得注意力资源的特权？本研究通过训练和注意力重叠任务的两个实验来探索这种可能性。 [1] 为此，提出了一种新的语言信任传播方法来获得组之间的完整信任关系。 [2] 在本文中，我们提出了一种基于自适应概率分布和生成对抗网络的新型语言隐写模型，实现了在生成文本中隐藏秘密信息的目标，同时保证了高安全性。 [3] 一个新的语言探测数据集的进一步结果表明，有很大的改进空间，特别是在跨域设置中。 [4] 我们研究了作为母语的日语新语言形式的联想学习以及健康人的口味（糖果和巧克力）。 [5] 结果 尽管在概念和操作上存在差异，但先前建立的抑郁症 LIWC 标记和我们新的激活语言指标都与抑郁评分（患者健康问卷 [PHQ]-9）和纵向患者轨迹密切相关。 [6] 在这项研究中，我们提出了一种错误信息传播模型，该模型包括四种新语言特征对传播的直接影响和信息丰富度的调节作用。 [7] 我们提出的交互式学习方法可以灵活地实时获取新的语言形式和现实世界的信息，而无需重新训练认知模型。 [8] 为此，本文提出了一种新的基于投票模型的语言决策方法，可用于处理基于多语言表示模型的语言评估的大规模语言决策问题。 [9] 首先，回顾了AIVIFSs、Z-numbers和梯形云的一些相关概念和以前的算子，同时综合了AIVIFSs和Z-numbers，提出了一种新颖的语言表达方式。 [10] 在这里，我们调查了老年人在语音生产中隐含地接受新语言限制的能力。 [11] 在本文中，受迁移学习的启发，提出了一种新的语言隐写分析方法来检测混合隐写文本。 [12] 该模型正确地预测了在我们研究期间新语言变体的比例使用增加。 [13] 本研究旨在通过实施更细粒度和相对新颖的语言指标来捕获传统指标无法测量的从属结构，从而构建更合适的 L2 复杂性测量模型。 [14] 然后，提出了一种新的语言毕达哥拉斯模糊TOPSIS（LPF-TOPSIS）方法来解决多属性决策问题。 [15] 本文提出了两种从文本输入中提取的新语言特征，用于普通话文本到语音系统中的韵律生成。 [16] 本文对 Twitter 进行了一种新颖的语言分析，以探索日本各地方言变化的区域差异。 [17] 例如，在一个典型的实验中（见图 1），孩子们会看到一个新的语言标签（wug）和一个新的对象。 [18] 针对信息缺失问题，提出了一种利用相似度和平均差的语言补全方法，可以使语言评价信息更加紧凑，决策结果更加合理。 [19]
novel linguistic label
Do novel linguistic labels have privileged access to attentional resources compared to non-linguistic labels? This study explores this possibility through two experiments with a training and an attentional overlap task. [1] For instance, in a typical experiment (see Figure 1), children are presented with a novel linguistic label (wug) and a novel object. [2]与非语言标签相比，新颖的语言标签是否具有获得注意力资源的特权？本研究通过训练和注意力重叠任务的两个实验来探索这种可能性。 [1] 例如，在一个典型的实验中（见图 1），孩子们会看到一个新的语言标签（wug）和一个新的对象。 [2]
novel linguistic form 新颖的语言形式
We examined the associative learning of novel linguistic forms in Japanese as a native language and tastes (candies and chocolates) for healthy people. [1] Our proposed interactive learning method grants flexible run-time acquisition of novel linguistic forms and real-world information, without training the cognitive model anew. [2]我们研究了作为母语的日语新语言形式的联想学习以及健康人的口味（糖果和巧克力）。 [1] 我们提出的交互式学习方法可以灵活地实时获取新的语言形式和现实世界的信息，而无需重新训练认知模型。 [2]