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1.
This study examined the effects of a syllable-based reading intervention for German second graders who demonstrated difficulties in the recognition of written words. The intervention focused on fostering word reading via syllable segmentation. The materials consisted of the 500 most frequent syllables typically read by 6- to 8-year-old children. The aims were to practice phonological recoding, consolidate orthographic representations of syllables, and routinize the access to these representations. Compared to children randomly assigned to a wait-list group, poor readers in the treatment condition showed significant improvements in standardized measures of phonological recoding, direct word recognition, and text-based reading comprehension after the 24-session intervention. Poor readers in the treatment condition also showed greater improvements in development of word recognition compared to children with efficient word recognition skills. The results provide evidence that a syllable-based reading intervention is a promising approach to increase struggling readers’ word recognition skills, which in turn will improve their reading comprehension.  相似文献   
2.
Automated keyphrase extraction is a fundamental textual information processing task concerned with the selection of representative phrases from a document that summarize its content. This work presents a novel unsupervised method for keyphrase extraction, whose main innovation is the use of local word embeddings (in particular GloVe vectors), i.e., embeddings trained from the single document under consideration. We argue that such local representation of words and keyphrases are able to accurately capture their semantics in the context of the document they are part of, and therefore can help in improving keyphrase extraction quality. Empirical results offer evidence that indeed local representations lead to better keyphrase extraction results compared to both embeddings trained on very large third corpora or larger corpora consisting of several documents of the same scientific field and to other state-of-the-art unsupervised keyphrase extraction methods.  相似文献   
3.
基于深度学习的中文专利自动分类方法研究   总被引:2,自引:0,他引:2  
[目的/意义] 面向当前国内专利审查和专利情报分析工作中对于海量专利分类的客观需求,设计了7种基于深度学习的专利自动分类方法,对比各种方法的分类效果,从而助力专利分类效率和效果的提升。[方法/过程] 针对传统机器学习方法存在的缺陷,基于Word2Vec、CNN、RNN、Attention机制等深度学习技术,考虑专利文本语序特征、上下文特征以及分类关键特征,设计Word2Vec+TextCNN、Word2Vec+GRU、Word2Vec+BiGRU、Word2Vec+BiGRU+TextCNN等7种深度学习模型,以中国专利为例,选取IPC主分类号的"部"作为分类依据,对比这7种模型与3种传统分类模型在中文专利分类任务中的效果。[结果/结论] 实证研究效果显示,采用考虑语序特征、上下文特征及强化关键特征的深度学习方法进行中文专利分类具有更优的分类效果。  相似文献   
4.
This study examined the bidirectionality between kindergarten children's executive functioning (EF) and word reading across two time points. Participants were 523 Hong Kong Chinese-speaking children (mean age at Time 2 = 64.59 months; 52.9% male) and their parents. At Time 1, children were administered the measures of EF skills: inhibitory control, attention shifting, working memory and Chinese word reading. They were reassessed with these measures at Time 2 one year later. Results from the cross-lagged panel model revealed that, controlling for child age, gender and parental education levels, children's word reading at Time 1 was significantly predictive of their working memory at Time 2, but that the three EF skills at Time 1 were not predictive of word reading at Time 2. These findings underscored the role of early word reading in promoting children's working memory.  相似文献   
5.
古代汉语中,"来"的用法异常复杂,仅其助词属性下就又可以细分出六七种不同的用法,但这些用法大多并未能沿用到现代汉语共同语中,这也包括用作动态助词的"来"。从历时发展来看,动态助词"来"产生之后,在唐五代、宋元、明清三个阶段的使用并未呈现出持续上升的态势,而是在共同语中逐渐衰落了,今天仅在偏南方的一些方言中还有所使用。作为动态助词,"来"的衰落动因是多方面的,既有"来"自身功能负担过重,以及在使用中受限制过多的内因作用,也有系统内部成员竞争的外因作用。  相似文献   
6.
In this paper, we introduce a novel knowledge-based word-sense disambiguation (WSD) system. In particular, the main goal of our research is to find an effective way to filter out unnecessary information by using word similarity. For this, we adopt two methods in our WSD system. First, we propose a novel encoding method for word vector representation by considering the graphical semantic relationships from the lexical knowledge bases, and the word vector representation is utilized to determine the word similarity in our WSD system. Second, we present an effective method for extracting the contextual words from a text for analyzing an ambiguous word based on word similarity. The results demonstrate that the suggested methods significantly enhance the baseline WSD performance in all corpora. In particular, the performance on nouns is similar to those of the state-of-the-art knowledge-based WSD models, and the performance on verbs surpasses that of the existing knowledge-based WSD models.  相似文献   
7.
提出一个以大规模语料库为资源提取材料,以词汇集为语义成分表达方式的动态词群建构方法,其维度特征值的提取不但具有客观性,而且操作简易。维度特征值用词汇集的方式表示特征取值范围,可以避免传统的义素概括性过强、词汇个性表现不足的缺陷。这种方法有利于面向应用的大规模动态词群的建构。  相似文献   
8.
在共时层面上,时间词"明日""明天"在句法组合以及语用表达方面都有所不同,因此,不能认定两者是完全等同的;从历时层面看,两者也呈现出一个此消彼长的演变过程,同时这种状况也在方言调查中得到证实。  相似文献   
9.
手风琴的音乐魅力在于"情"与"琴"的结合.这种音乐感觉对于学习和演奏手风琴是至关重要的.在学习和演奏中,我们必须着意培养和提高这种音乐感觉,方法是把演奏技巧和基本乐理的学习同步化;自我欣赏倾听自己的琴声;恰到好处地控制音箱来取得手风琴音乐的活力.  相似文献   
10.
"数感""符号感"与其它——《课程标准》大家谈   总被引:8,自引:5,他引:8  
《课程标准》作为课程改革的指导性文件应加强科学性和严谨性.应对“(数、符号)感”、“观念”、“能力”、“意识”等词的涵义和用法做出更为深入的研究.“数感”的提法有一定合理性;“帮助学生掌握数学的符号语言”则要比“发展学生的符号感”这一提法更为恰当.  相似文献   
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