Hi Ahmet,
Yes and no. The output of the p-frame analysis will give also give you figures for TT (type-token ratio) and Ent (entropy; sometimes referred to as 'predictability' - Biber uses a different way of doing this in his work). We discuss both TT and Ent in our paper (forthcoming - hopefully not too long now), and both of these values can be useful for analysis. Note e.g. in the list below that this study + to has lower TT and Ent values, suggesting that it may exhibit phraseological patterning, which can be confirmed by looking at the KWIC.
If you then look at a specific p-frame in the KWIC view, as I'm sure you know, it will sort the fillers for you, which helps with the task you are talking about. Also sorting options can be adjusted to make other patterning more obvious as here (sorting I used was 2R - 1L - 4R):
My point here is that yes you can count them manually but AntConc gives you other options which can help show how patterning you see in the p-frame is associated with patterns beyond the frame itself. It can also help you see which fillers are (or aren't) relevant to the ongoing analysis. Basically, if you're only counting them, you may be missing other stuff that's going on.
I've copied in Laurence as this sort of question also came up at the TaLC conference and he may have something to add... @Laurence Anthony, I hope you don't mind my including you in this. Thought it might be interesting to you. Ahmet is doing his PhD in Turkey and we've been corresponding about p-frame-related questions over the past few months.
Best regards,
Benet
From: Ahmet GÜNERİ <ahmetgu...@gmail.com>
Sent: 06 August 2024 12:28
To: Benet Vincent <ab6...@coventry.ac.uk>
Subject: Analyzing the fillers in phrase-frameHi Benet,
While analyzing the fillers/variants in the phrase-frame, I count and list them manually. Is this the way we do it? Or, are there any practical and automatic methods in AntConc to do the filler analysis in order to save time?
Kind regards,
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