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10.1016/j.dib.2017.11.023 http://scihub22266oqcxt.onion/10.1016/j.dib.2017.11.023 C5694964!5694964!29188227     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Data+Brief 2018 ; 16 (ä): 94-100 Nephropedia Template TP {{tp|p=29188227|t=2018. A corpus and a concordancer of academic journal articles |pdf=|usr=}}{{29188227}} gab.com Text A corpus and a concordancer of academic journal articles JO: Data Brief http://www.kidney.de/pget.php?&tw=1&pmid=29188227 #FOAvip This data article presents a corpus (i.e. a selection of a big number of words in an electronic form) and a concordancer (i.e. a tool to show the word in its context of use) of academic journal articles. As the title suggests, the data were collected from research articles published in academic journals. The corpus contains 5,686,428 words selected from 895 journal articles published by Elsevier in 2011?2015. The corpus is classified into four subject areas: Health sciences, Life sciences, Physical Sciences, and Social Sciences, following the classifications of Scopus, which is the largest abstract and citation database of peer-reviewed scientific journals, books and conference proceedings. To ease the access and utilization of the corpus, a program to produce the key word in context (KWIC) and word frequency was created and placed on the website: corpus.kwary.net. The corpus is a valuable resource for researchers, teachers, and translators working on academic English. Twit Text FOAVip A corpus and a concordancer of academic journal articles ????Data Brief http://www.kidney.de/pget.php?&tw=1&pmid=29188227 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29188227 #FOAvip English Wikipedia <ref>{{Cite pmid|29188227}}</ref> A corpus and a concordancer of academic journal articles #MMPMID29188227 Kwary DA Data Brief 2018[Feb]; 16 (ä): 94-100 PMID29188227show ga This data article presents a corpus (i.e. a selection of a big number of words in an electronic form) and a concordancer (i.e. a tool to show the word in its context of use) of academic journal articles. As the title suggests, the data were collected from research articles published in academic journals. The corpus contains 5,686,428 words selected from 895 journal articles published by Elsevier in 2011?2015. The corpus is classified into four subject areas: Health sciences, Life sciences, Physical Sciences, and Social Sciences, following the classifications of Scopus, which is the largest abstract and citation database of peer-reviewed scientific journals, books and conference proceedings. To ease the access and utilization of the corpus, a program to produce the key word in context (KWIC) and word frequency was created and placed on the website: corpus.kwary.net. The corpus is a valuable resource for researchers, teachers, and translators working on academic English. äA corpus and a concordancer of academic journal articles (epmc).pdf DeepDyve Pubget Overpricing