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Synonymous paraphrasing using WordNet and Internet

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dc.contributor.authorBolshakov, I.A.-
dc.contributor.authorGelbukb, A.-
dc.date.accessioned2023-03-09T01:14:52Z-
dc.date.available2023-03-09T01:14:52Z-
dc.date.issued2004-06-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65570-
dc.description.abstractWe propose a method of synonymous paraphrasing of a text based on WordNet synonymy data and Internet statistics of stable word combinations (collocations). Given a text, we look for words or expressions in it for which WordNet provides synonyms, and substitute them with such synonyms only if the latter form valid collocations with the surrounding words according to the statistics gathered from Internet. We present two important applications of such synonymous paraphrasing: (1) style-checking and correction: automatic evaluation and computer-aided improvement of writing style with regard to various aspects (increasing vs. decreasing synonymous variation, conformistic vs. individualistic selection of synonyms, etc.) and (2) steganography: hiding of additional information in the text by special selection of synonyms. A basic interactive algorithm of style improvement is outlined and an example of its application to editing of newswire text fragment in English is traced. Algorithms of style evaluation and information hiding are also proposed.-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleSynonymous paraphrasing using WordNet and Internet-
dc.typeArticle-
dc.identifier.doi10.1007/978-3-540-27779-8_27-
dc.identifier.bibliographicCitationNATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS, v.3136, pp 312 - 323-
dc.description.isOpenAccessN-
dc.identifier.wosid000223761800027-
dc.identifier.scopusid2-s2.0-34548233203-
dc.citation.endPage323-
dc.citation.startPage312-
dc.citation.titleNATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS-
dc.citation.volume3136-
dc.type.docTypeArticle; Proceedings Paper-
dc.publisher.location독일-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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