As the global integration process of constant development, academic research cann’t act blindly, need to communicate with foreign academia. But as non-English is the mother tongue writers who write English academic articles, often encounter the situation that how to express an English sentence to make foreign counterparts to really understand their own research result, ultimately
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The collocation has important influence for people understanding the sentence and generating language accurately and fluently. It plays an important role to improve the performances of many natural language processing tasks, such as machine translation, question answering system, etc.Considering the compactness, combination and substitution of collocation, we divide collocation to three categories, and propose a
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Web log data mining technology is a widely used Internet technology. Its purpose is to tap the meaningful and valuable data from massive data in the web logs, so that we could better use the Internet.The analysis of natural language query expressions is often neglected in the community of information retrieval. It’s a common practice
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Wenchuan Earth*****,attracting every Chinese person’s attention,is a big disaster to Sichuan citizens and means a lot to them.Media all over the world,including broadcastings,televisions or newspapers,show great concern about the earth***** reporting.Based on different cultures and ideologies,the similarities and differences between the usage of the language in Chinese English media and American media arouse the attention
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As a decision-making system of spatial relation, the fundamental task of GIS is to analyze and process spatial data, derive and abstract spatial information. The quality of data influences the reliability of the analysis results and realization of application objective directly, furthermore, affect the development of GIS industry. So it has important practical significance to
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As an important linguistic resource, collocation represents a significant relation between words. It is one kind of indispensable knowledge for further development in the field of natural language processing (NLP). Automatic monolingual and bilingual collocation extraction is not only important for linguistic ontology research but also for many NLP applications such as machine translation, information
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