A corpus and a concordancer of academic journal articles

• Main Author: Deny A. Kwary
• Format: Article
• Language: English
• Published: Elsevier 2018-02-01
• Series: Data in Brief
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340917306194

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.