A corpus-driven investigation into lexical bundles across research articles in Food Science and Technology

Rajab Esfandiari; Ghodsieh Tavakoli Moein

Volume 3, Issue 1 , February 2016, , Pages 30-1

Abstract
  The purpose of this study was twofold: (a) to identify the most frequent 4-word lexical bundles and (b) to analyse the functions these lexical bundles may serve. To those ends, a corpus of 4,652,444 in Food Science and Technology (hereafter FST Corpus) was developed, using 1,421 research articles (RAs) ...  Read More