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Word sets, keywords, and text contents: an investigation of text topic on the computer

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dc.creator BERBER SARDINHA Antonio P.
dc.date 1999
dc.date.accessioned 2013-05-30T11:55:34Z
dc.date.available 2013-05-30T11:55:34Z
dc.date.issued 2013-05-30
dc.identifier http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-44501999000100006
dc.identifier http://www.doaj.org/doaj?func=openurl&genre=article&issn=01024450&date=1999&volume=15&issue=1&spage=00
dc.identifier.uri http://koha.mediu.edu.my:8181/jspui/handle/123456789/4898
dc.description This study presents a methodology for the identification of coherent word sets. Eight sets were initially identified and further grouped into two main sets: a `company' set and a `non-company' set. These two sets shared very few collocates, and therefore they seemed to represent distinct topics. The positions of the words in the `company' and `non-company' sets across the text were computed. The results indicated that the `non-company' sets referred to `company' implicitly. Finally, the key words were compared to an automatic abridgment of the text which revealed that nearly all key words were present in the ahridgment. This was interpreted as suggesting that the key words may indeed represent the main contents of the text.
dc.publisher Pontifícia Universidade Católica de São Paulo - PUC-SP
dc.source DELTA: Documentação de Estudos em Lingüística Teórica e Aplicada
dc.subject Corpus Linguistics
dc.subject Teaching Portuguese as Foreign Language
dc.subject Corpus-based description of Portuguese
dc.title Word sets, keywords, and text contents: an investigation of text topic on the computer

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