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To Search and Summarize on Internet with Human Language Technology
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2005 (English)Other (Other (popular science, discussion, etc.))
Abstract [en]
More and more text are available on the Internet and we need tools to tame this flow. Automatic text summarization is one solution, a text is given to the computer and it returns a non-redundant shorter text. Automatic text summarization can also be used in search engines to decrease time finding documents. To further improve search engines one can use human language technology in form of word analysis as stemming and spell checking. Other methods that can be used are multilingual or cross language information retrieval in searching and finding documents written in other languages than the languages one has knowledge in. In understanding foreign languages one can use machine translation techniques that today had become good enough for practical use. Machine translation (MT) is the technique where the computer translates automatically between natural languages. The MT-techniques have been developed since the early 50’ies.
Place, publisher, year, pages
2005.
Identifiers
URN: urn:nbn:se:su:diva-38103OAI: oai:DiVA.org:su-38103DiVA: diva2:305933
Note
Information Modelling and Knowledge Bases XVI, Frontiers in Artificial Intelligence and Applications, Volume 121, pp 344-350, IOS Press 2005Available from: 2010-03-25 Created: 2010-03-25

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