Hello all,
We are transcribing play sessions and we are
needing some recommendation to save us in our transcriptions. When non-stuttering
child says:
« he’s m… he’s making noise”, how do we transcribe the sentence?
*CHI: <he’s &+m> [/] he’s making noise Flucalc counts 2 TD (1 phonological fragment and phrase repetition) et 0 SLD.
OR
*CHI : <he’s m(aking)> [/] he’s
making noise Flucalc counts 1 TD (phrase repetition) and 0
SLD.
My apologies for this basic question but I’m a new user of CLAN/CHAT.
Thank you very much for your help!
Sophie
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Thanks, Scott. Now the geeks (including me) will all come out of our bubbles :-)
I agree that it is important to code surface features at surface value. That said, I do code a whole word repetition differently based on qualitative features. If the whole word repetition is accompanied by tension or irregular timing, I code it as an SLD (stutter-like disfluency) and if it does not, I code it as an OD (other disfluency). However, this is not to say that coding it as an SLD would inform a diagnosis. There are too many other factors that go into diagnosis. Both those who stutter and those who do not may produce repetition that is tense. Think of the classic “Obama Stutter”. Clinically, we need to make inferences about what surface features represent, and in this case, it helps to generate multiple inferences for each observation. This is an exercise that all of my students do to help them think critically during assessment and diagnosis. We can infer that tension during repetition may point to a diagnosis of stuttering, but we can also infer time pressure, being interrupted, emphasis for meaning, emotional states, other conditions, etc. Likewise, phrase repetition (which I code as an OD) can point to language formulation, escape from stuttering, changing intended content, perfectionism (“saying it right”, as some of my autistic clients might say), holding the floor, repeating content with altered emphasis, etc.
Ultimately, why are we coding the sample? Most of us would agree that we can’t use this information alone to make judgments about diagnosis or therapeutic change. But, for the kind of therapy I do (for example), change can be inferred through shifts in disfluency types, so coding them with clear rationale is helpful.
Hope everyone is doing well. I miss the in-person interaction!
Vivian
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Well Ms. Gerday,
At this point in time, you should sleep well in spite of this tumul concerning a rather small issue at this point of time. I can tell you that thousands of highly sophisticated MRI tests end up with questionable diagnosis or misdiagnosis.
So, we have our share.
As for Scott’s reply, it is a bit on the long side (may have inspired Shakespear to write an additional act to “Much to do about nothing.”) But, he makes a point or two to consider.
In the meantime, may I refer you to page 100 in the Yairi and Ambrose “Early Childhood Stuttering” (2005):
“As can be seen, the various proposed global schemes are quite similar, reflecting a general agreement in the field about the nature of the different types of disfluency. Still, they seem to convey the realization that a distinction between what is stuttering and what is normal is not always possible. We are aware of these limitations and their implications for the data that they generate. Practically, one may assume that some errors occur in both directions: counting as stuttering some disfluencies that actually were normal, and counting as normal some disfluencies that were stuttering. We agree with Conture (2001) that, for the time being, it might be necessary to recognize and accept a relatively small percentage of error. As the state of knowledge about stuttering increases, and with the development of more sensitive, automated technology (Howell et al., 1997), it should become possible to derive more accurate measures.”
So dear, as I said, sleep well. At age 82, I am rather relaxed about all this.
Ehud
__________________
What we do is pre-process speech using our version of Levelt’s interruption/repair parser. That would remove events like this repair (I agree with Ehud about characterization of this event). I think that the other main benefit of doing the parsing is that it deals with phrase repetitions in a similar way (excludes them as stutters). Indeed, we also parse to remove whole-word repetitions (indication of covert repairs according to Levelt).
Peter
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Good morning all,
Thank you all for your answers and your reflective developments. It is very rich in exchange! As Mr Yaruss says very well, this coding is a real challenge!
I slept well, thank you Mr. Yairi!
Anyway, reflection remains in order and the final decision will be taken after discussion ...
Thank you all for your quick reactions.
Take care of yourself.
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Yep, Scott and Ehud laid it out pretty well. It is impossible to develop an a priori coding system to know with absolute certainty whether phrases repetitions are stuttered or not. I remember a guy I ran in my dissertation who had no observable physical tension or evidence of tension in his voice or sound production except perhaps a short pause before starting over. He would say things like “We went to the- we went to the- we went to the- we went to the store.” I counted these as stutters and I am 100% certain that he stuttered in these situations. Maybe it was the number of phrase repetitions that convinced me, but I probably could not code that for certain either.
Ken
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HI all,
I am even later to the party. I didn’t read every word of the exchange below, but my take on it would be similar in some ways to what some folks have said, and perhaps different from others.
Disfluencies like the one you point out below highlight the limitations of convention disfluency classification systems – in short, there are not enough labels to capture all that one encounters when transcribing speech!
In my view, this type of disfluency has elements of both phrase and part-word repetition and thus there is no consensus agreement on how to describe its structure. The moment of interruption in speech occurs between the onset and rime of a syllable. Thus, in Ed Conture’s taxonomy it has elements of “within-word” disfluency, which makes it like part-word repetition and sound prolongations, and thus “stutter-like.” It differs from a classic part-word repetition in that, instead of starting the repair at the beginning of the syllable [as is the case in sound repetition], the speaker retraces back a bit more, to a previous syllable.
I think Nan made this comment right off the bat, but what I’ve done in my research that compares children who stutter with typical children is simply to count how often this type of disfluency occurs (at a group level, it’s not very often, for either type of speaker) and then run statistical comparisons to see if children who stutter produce this type of disfluency more often than children who do not stutter (they do!!).
As others on this email chain have noted, in the case of an individual speaker, however, the occurrence of an instance or two of this type of disfluency doesn’t really tell a clinician much. It needs to be examined in the broader context of everything else the speaker does (e.g., total disfluencies, disfluency duration, iterations per repetition, etc. etc, etc.)
Hope this is useful.
Best,
Ken
Kenneth J. Logan, Ph.D., CCC-SLP
Associate Professor, Interim Chair
Department of Speech, Language, and Hearing Sciences
1225 Center Drive, Room 2147A
University of Florida
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From: <fluen...@googlegroups.com> on behalf of Rosalee Shenker <rosalee...@gmail.com>
Date: Monday, June 7, 2021 at 9:24 AM
To: Sophie Gerday <fofi...@gmail.com>
Cc: FluencyBank <fluen...@googlegroups.com>
Subject: Re: {SPAM?} Help for translation
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Hi all, interesting discussion.
I agree completely with Nan and others that we have to keep in mind that we are transcribing observable behaviour and need to keep our assumptions to a minimum. After all, a diagnosis or ‘stuttering or not’ is (needs to be) based on much more than a pure disfluency count. I also agree wholeheartedly with Ehud that we have to accept that our count will not be 100% accurate and that errors of misinterpretation will be made if we try to establish a disfluency frequency baseline. We need to keep in mind that for instance on a 500 word sample, the difference between 12% stuttering and 10% stuttering is 10 stutters, and I would argue that the difference between 12% and 10% is not clinically significant. So if we disagree on the classification of 10 instance of disfluency, it may not be a big deal (hence Ehud’s recommendation to have a good sleep 😊)
In this particular example. If the child says “he’s m… he’s making noise”, we cannot automatically assume that the child is trying to say “he’s m(aking)…). What if the child were planning to say “he’s m(oving)… he’s making noise”, so transcribing it as m(aking) is making an assumption that may be correct but also may be wrong. So, better to stick with observable behaviour.
Also, can we please stop using SLD? If we say that something is ‘stuttering-like’ this means that it sounds like ‘stuttering’, which of course means that there is something else that we call ‘true’ stuttering but this instance is only ‘stuttering-like’. An analogy is ‘meat’ and ‘meat-like’. The latter may look and taste (a bit) like meat but it is not real meat. To bring it a bit closer to home, if clinicians talk about ‘Parkinson-like symptoms’, they refer to symptoms that look like PD but are not the result of PD. I find the use of SLD utterly confusing and always find it difficult to explain to my students. If we want to indicate instances of disfluency that may be stutters but we are not completely sure (as is the case in this example), maybe we can call it ‘stuttering-likely” but I would not call it ‘stuttering-like’.
Luc
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Luc De Nil, PhD
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University of Toronto
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Subject: Re: Help for translation
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Hi everyone,
I agree, very interesting discussion, and I also agree with Luc, and others about what has been said about the importance of keeping our assumptions to a minimum when we are describing what we perceive. Ehud mentions Conture’s volume, but more recently, Clark et al 2013 have shown that we need to accept there are borderline cases, and that there are cases that we cannot classify based on perceptual data only (reference below).
Clark CE, Conture EG, Walden TA, Lambert WE. Speech sound articulation abilities of preschool-age children who stutter. J Fluency Disord. 2013 Dec;38(4):325-41. doi: 10.1016/j.jfludis.2013.09.004. Epub 2013 Oct 9. PMID: 24331241; PMCID: PMC3868004.
Besides, I agree with Luc: I am not happy with the term stuttering like dysfluencies either. However, I am not sure whether I agree with the statement by Ken that “the moment of interruption in speech occurs between the onset and rime of a syllable”. Did you investigate this ? I would be very interested to read about this. I can see that your statement may be true for sound repetitions and prolongations, but how about an instant block on the very first sound of a word, without realizing the very first sound ? And how about a block on a word initial vowel?
Ken, feel free to respond only to me, because this may discussion is outside the scope of the ongoing discussion.
Best,
Marie-Christine
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Hi Marie-Christine,
Thank you for your comments.
To clarify, my comments in the previous email were in reference to disfluencies that have a structure like this: …[the b-] the boy went… . In such disfluencies, speech is interrupted in mid-syllable and the subsequent repair features a retrace to the beginning of “the”.
In exploratory data analysis for some of the studies I conducted in the mid-1990s to early 2000’s, we found that speakers who stuttered produced more of this type of disfluency than the speakers with typical fluency. I would need to look back at those articles, but as I recall, in that era, we (like many other people) were making the “stuttering-like” versus “non-stuttering like” distinction in studies that compared fluency characteristics of talker groups, and for that reason, we needed to know if that type of disfluency was something that people who stutter did more often than typical speakers.
In subsequent years, however, I have moved away from making the stuttering-like vs. non-stuttering-like distinction. As others on this email chain seem to do, I have gone toward simply describing the types of disfluency that are produced. We used a descriptive approach like that, for example, in the Test of Childhood Stuttering. As others have noted in this email chain, this approach makes no assumptions about whether specific instances of disfluency might be judged as “stuttering” or not.
I hope this clears things up.
Best,
Ken
From: <fluen...@googlegroups.com> on behalf of "M.C.J.P. Franken" <m.fr...@erasmusmc.nl>
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Subject: RE: Help for translation
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Thanks Ken!
Yes, it certainly helped that you clarified that your comment was in reference to the specific type of dysfluency “…[the b-] the boy went…”, to describe this disfluency more precisely. I had interpreted it as a general statement about moments of stuttering.
Best,
Marie-Christine
Thanks for bringing your study to our attention Lisa.
I wish we were able to compare the speech motor characteristics of the phrase repetitions in your study 😉
Best,
Marie-Christine
Please see my book Kids' Slips for a thorough discussion of this issue (young children's slips of the tongue).
Dear colleagues,
As a former colleague would say “here are my 2 c”.
I want to expand on two things Luc indicated.
We try to diagnose if someone is a person who stutters or not. We all know that the stutterER is more than stutterING, which I have often emphasized in my publications. Indeed, a count of dysfluencies is but one component of what occurs within the individual who stutters. And, we all know too well that the way stuttering has an impact on the person depends on much more than just the dysfluency count.
I also agree with Luc as it relates to SLD’s. I am so happy you brought this up, Luc. It is a term that I discuss with my students and I personally do not use. I ask my students to carefully look at the “SLD” definition and to indicate what the difference is with the behaviors that are typically defined as “stuttering”. It is also always an examination question, and even after discussion, most students still think that both terms mean different things. I have had several discussions over the past years with colleagues about the term which, in my opinion (like Luc’s) is a misnomer. When someone talks about “…-like” (e.g. autistic-like), it means that someone has tendencies for a particular disorder, but “it” does not exactly meet the criteria for that disorder. On a continuum, it is approaching it, has some characteristics, but does not correspond to the actual disorder. It is more like having “tendencies” toward the disorder rather than the disorder itself.
Best wishes,
Martine
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