Inter-rater reliability of utterance segmentation

[Brielle Stark]

Intraclass Correlation Coefficient, as is usually used for reliability
estimates :)

Brielle C. Stark, PhD
Assistant Professor
Department of Speech, Language and Hearing Sciences
Program in Neuroscience, Cognitive Science Program
Indiana University Bloomington

sent from mobile, please excuse errors

On Fri, Apr 14, 2023, 20:19 Brian Macwhinney <macw at andrew.cmu.edu> wrote:

> Brie,
>     Sounds like a good idea, but does ICC refer to:  International
> Criminal Court?  Illinois Commerce Commission? International Cricket
> Council? Illinois Central College? International Color Consortium?
> International Christian Concern? or maybe the Industrial Chimney Company?
> So far, googling this hasn’t helped.
>
> — Brian MacWhinney
>
> > On Apr 14, 2023, at 4:28 PM, Brielle Stark <brielle.stark at gmail.com>
> wrote:
> >
> > One way we've done it is to look at number of utterances using outside
> tools like ICC. That's also a more robust metric for that then percent
> agreement, I'd argue.
> >
> > Brielle C. Stark, PhD
> > Assistant Professor
> > Department of Speech, Language and Hearing Sciences
> > Program in Neuroscience, Cognitive Science Program
> > Indiana University Bloomington
> >
> > sent from mobile, please excuse errors
> >
> > On Fri, Apr 14, 2023, 16:13 Leonid Spektor <spektor at andrew.cmu.edu>
> wrote:
> > Cynthia,
> >
> > For RELY to work the speaker utterance in the first file must have
> corresponding utterance of the same speaker in the second file. Your
> example will produce an error that utterance do not match.
> >
> > Perhaps someone else can have a better suggestion.
> >
> >
> > Leonid.
> >
> >> On Apr 14, 2023, at 15:54, Cynthia Audisio <cpaudisio at gmail.com> wrote:
> >>
> >> Dear chibolts,
> >>
> >> With some colleagues, we are trying to analyze inter-rater reliability
> of utterance segmentation in CHAT transcripts of spontaneous situations. We
> were wondering whether we can use RELY for this purpose.
> >>
> >> Here is an example of how transcripts by two different transcribers
> might look:
> >>
> >> Transcriber 1:
> >> CHI: Mami, tenés < el vasito > [/] el vasito de Juan ?
> >>
> >> Transcriber 2:
> >> CHI: Mami, tenés el vasito ?
> >> CHI: el vasito de Juan ?
> >>
> >> Best,
> >> Cynthia
> >>
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