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Narrating the Past in Different Contexts:C-BI Approach to the Present Perfect and Past Simple 被引量:1
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作者 Xinhui XU Hongwei ZHAN 《Chinese Journal of Applied Linguistics》 2022年第4期566-582,613,共18页
Concept-based instruction(C-BI)has proven to be effective in improving students’command of grammar items used out of context by offering the students revision lessons,but its effect in teaching newly-introduced gramm... Concept-based instruction(C-BI)has proven to be effective in improving students’command of grammar items used out of context by offering the students revision lessons,but its effect in teaching newly-introduced grammar items in a complex context of a specific genre remains unclear.To probe C-BI’s effect on students’use of the past simple and present perfect tenses out of context and in the context of a narrative by its description of the grammar concept in its materialization,that is,the Schemas of a Complete Orienting Basis of an Action(SCOBAs),we taught the two tenses to 40 eighth-graders in a Chinese middle school in our three-week teaching experiment.The qualitative and quantitative analysis of the results shows that i)in both out-ofcontext use and in-context use,accuracy of using the target tenses is higher after C-BI intervention;ii)by improving their conceptual knowledge through C-BI,the students are helped to pin down reference time and are hence more certain in using the target tenses.Moreover,they are encouraged to use the newly-introduced tenses in the complex context of the narrative genre;iii)both in simple contexts or complex contexts,the SCOBAs are effective in helping students navigate the learning task and determine their intended meaning by establishing temporal reference in the context. 展开更多
关键词 concept-based instruction middle school grammar teaching present perfect past simple cognitive grammar narrative writing
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The Degree of Association between Concepts Focusing on the Viewpoint
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作者 Misako Imono Eriko Yoshimura +1 位作者 Seiji Tsuchiya Hirokazu Watabe 《Computer Technology and Application》 2012年第12期801-807,共7页
For a computer to perform intelligent information processing requires functions that can extract concepts from words, as humans do, and then associate those concepts with related concepts. In order to implement this a... For a computer to perform intelligent information processing requires functions that can extract concepts from words, as humans do, and then associate those concepts with related concepts. In order to implement this association function, it is necessary to quantify the degree of association between two concepts. In the present paper, we propose a method for quantifying degree of association focusing on the viewpoint that uses a concept base (a knowledge base that expresses concepts as a collection of pairs, each pair consisting of an attribute word used to describe the concept and a weighting that expresses the word's importance). Here, "Viewpoint" is the perspective from which a concept is viewed; for example, consider the degree of association between "airplane" and "automobile", and the degree of association between "airplane" and "bird". From the viewpoint of "vehicle", "airplane" and "automobile" are highly related, while from the viewpoint of "flight", "airplane" and "bird" are highly related. We present herein a comparison of two methods for calculating degree of association focusing on the viewpoint, and demonstrate that the method involving modulation of attribute weightings based on viewpoint results in degree of association calculations that are closer to human senses. 展开更多
关键词 Degree of association VIEWPOINT concept-base.
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