Anastasios Asimakopoulos

    Hi @judith-gorham yes that’s a great idea. The function n-grams can be used to identify various text-oriented lexical bundles such as transition signals (in contrast to the), structuring signals (in the present study), resultative signals (as a result of) and framing signals (on the basis of) – see this week’s text by Hyland (2018) for more types of lexical bundles. You can narrow down your search to one of the four broad disciplinary categories by selecting AH, SS, PS or LS under Subcorpus; unfortunately, narrowing it down to one specific discipline is not available unless one has an institutional/personal log in. I have attached two screenshots, but the second one is only if you have access via your institution. How were you planning to use the tool?

    However, a way around this is to use Frequency. Once you create your n-gram list, you can go to the concordance of a specific n-gram e.g. on the other hand, and click Frequency – Text Types to see how frequent it is in individual disciplines. This is from this week’s guide, so give it a go and let me know if you have any questions.