SK Reed,S Stebick,B Comey,D Carroll 摘要: This study extends the Rittle-Johnson and Star (2009) research agenda of identifying when solution comparisons are effective by combining their quantitative approach with the qualitative descriptive approach advocated by Lobato (2008). In Experiment 1 ...
Although there are similarities between the uses of the word dou in Mandarin and Cantonese, there are also striking differences that have rarely been discussed in the literature. As well as raising awareness of this fact, the present study contributes to our understanding of how dou's different ...
People can quickly form the first impression of the strangers’ personality according to their face cues and/or voice cues. To explore the difference and the similarity of these two ways of personality perception, we compared these two sides o
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This study examined the similarities and differences in the functioning of component processes underlying first language (L1) and second language (L2) word reading in Chinese. Fourth-grade Chinese children in Singapore were divided into L1 and L2 reader groups based on whether they used Mandarin or...
支持同义词词林(Cilin)、知网Hownet、词向量(WordEmbedding)、Tfidf、SimHash、BM25等算法的相似度计算和字面匹配搜索,常用于文本匹配冷启动。 example: examples/literal_text_semantic_search_demo.py 代码语言:python 代码运行次数:1 复制Cloud Studio 代码运行 from similarities import SimHashSimilarity, TfidfSimilar...
The latter are crucial for studies that relate different biological networks, e.g., for Network Alignment or to evaluate the possible evolution of the interactions of a little-known network on the basis of a well-known one. Exist- ing methods are ineffective in...
Understanding of the abbreviated method and the history of the development of the inverse constitutive law, and 2 were comparative analysis of similarities and differences of inverse constitutive law and the abbreviated method of word formation, can grasp and understand some English. the meaning of ...
"""self.num_topics = num_topics# Train LSA# Look-up the number of features in the tfidf model.#self.num_tfidf_features = max(self.corpus_tfidf.dfs) + 1self.lsi = LsiModel(self.ksearch.corpus_tfidf, num_topics=self.num_topics, id2word=self.ksearch.dictionary)# Transform corpus ...
Overall individual within the meaning of this their focus to the meaning of the two has the majority on their similarities. When we use the word only to fully understand their meaning in order to better use 翻译结果2复制译文编辑译文朗读译文返回顶部 ...