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The Transformation of Thought Patterns in English-Chinese Translation
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作者 Shi-hua DING 《Sino-US English Teaching》 2017年第4期239-244,共6页
Translation involves not only formal transformation of two languages concerned, but also conversion of thought patterns. The oriental thought pattern is considered "concrete", "man-centered", and "ordinal"; whil... Translation involves not only formal transformation of two languages concerned, but also conversion of thought patterns. The oriental thought pattern is considered "concrete", "man-centered", and "ordinal"; while the western one is believed to be "abstract", "object-centered", and "conversed". These are the decisive factors for the existence of the differences in language expressing. It is of great importance to study these differences and make some adjustments in terms of syntactic structure, semantic focus, and time order so as to achieve a natural rending. 展开更多
关键词 transformation of thought patterns Chinese-English translation syntactic structure semantic focus timeorder
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A Multi-Threaded Semantic Focused Crawler 被引量:5
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作者 Punam Bedi Anjali Thukral +2 位作者 Hema Banati Abhishek Behl Varun Mendiratta 《Journal of Computer Science & Technology》 SCIE EI CSCD 2012年第6期1233-1242,共10页
The Web comprises of voluminous rich learning content. The volume of ever growing learning resources however leads to the problem of information overload. A large number of irrelevant search results generated from sea... The Web comprises of voluminous rich learning content. The volume of ever growing learning resources however leads to the problem of information overload. A large number of irrelevant search results generated from search engines based on keyword matching techniques further augment the problem. A learner in such a scenario needs semantically matched learning resources as the search results. Keeping in view the volume of content and significance of semantic knowledge, our paper proposes a multi-threaded semantic focused crawler (SFC) specially designed and implemented to crawl on the WWW for educational learning content. The proposed SFC utilizes domain ontology to expand a topic term and a set of seed URLs to initiate the crawl. The results obtained by multiple iterations of the crawl on various topics are shown and compared with the results obtained by executing an open source crawler on the similar dataset. The results are evaluated using Semantic Similarity, a vector space model based metric, and the harvest ratio. 展开更多
关键词 ELEARNING semantic focused crawler semantically expanded term ONTOLOGY
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