3 resultados para Scientific spread text

em Bulgarian Digital Mathematics Library at IMI-BAS


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The paper discusses facilities of computer systems for editing scientific and technical texts, which partially automate functions of human editor and thus help the writer to improve text quality. Two experimental systems LINAR and CONUT developed in 90s to control the quality of Russian scientific and technical texts are briefly described; and general principles for designing more powerful editing systems are pointed out. Features of an editing system being now under development are outlined, primarily the underlying linguistic knowledge base and procedures controlling the text.

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We present the Hungarian National Scientific Bibliography project: the MTMT. We argue that presently available commercial systems cannot be used as a comprehensive national bibliometric tool. The new database was created from existing databases of the Hungarian Academy of Sciences, but expected to be re-engineered in the future. The data curation model includes harvesting, the work of expert bibliographers and author feedback. MTMT will work together with the other services in the web of scientific information, using standard protocols and formats, and act as a hub. It will present the scientific output of Hungary together with the repositories containing the full text, wherever available. The database will be open, but not freely harvestable, and only for non-commercial use.

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In this demo the basic text mining technologies by using RapidMining have been reviewed. RapidMining basic characteristics and operators of text mining have been described. Text mining example by using Navie Bayes algorithm and process modeling have been revealed.