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

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 (R...

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Bibliographic Details
Main Authors: Rajab Esfandiari, Ghodsieh Tavakoli Moein
Format: Article
Language:English
Published: Imam Khomeini International University, Qazvin, 2016-03-01
Series:Journal of Modern Research in English Language Studies
Subjects:
Online Access:http://jmrels.journals.ikiu.ac.ir/article_868_f68101271baae58a40eca6835544f3fc.pdf