Frequency of words

Wed Sep 13 18:55:13 UTC 2017

A partial response, as I rush off to a meeting:

I always encourage mispronunciations (furry for fairy) to be coded as the
actual target. If it's just a pronunciation problem and that is not the
focus of our current work, I might make a %com tier comment so as to find
it later if we do post-hoc phonological analysis, but typing wabbit for
rabbit will screw with the MOR program, and typing furry for fairy will
screw up lexical analyses.

N

Nan Bernstein Ratner, F-, H-ASHA, F-AAAS, ABCLD
Professor
Hearing and Speech Sciences
University of Maryland
0100 Lefrak Hall
College Park, MD 20742
nratner at umd.edu, 301-405-4217

Co-director: FluencyBank (www.fluency.talkbank.org);
http://languagefluency.umd.edu/

ADVANCE Professor, College of Behavioral and Social Sciences
Director, University of Maryland Autism Research Consortium (UMARC),
www.autism.umd.edu
Faculty, Language Science (languagescience.umd..edu), Neuroscience &
Cognitive Neuroscience (NACS, nacs.umd.edu), Developmental Science Field
Committee

http://hesp.umd.edu/facultyprofile/bernstein%20ratner/nan

My PubMed Bibliography
<http://www.ncbi.nlm.nih.gov/sites/myncbi/1-UVaaDdREZ/bibliography/40436718/public/?sort=date&direction=ascending>

On Wed, Sep 13, 2017 at 1:49 PM, Brielle Stark <brielle.stark at gmail.com>
wrote:

> Hello all.
>
> I have a question about calculating word frequency. We're working with
> aphasia participants who will often make mistakes, and when they do make
> mistakes, we'll put in the intended word into [: target] if we know what
> the intention was. However, I do not want to count [: target] words in the
> frequency tally of words. Basically, if someone said furry [: fairy] in one
> instance, and I am looking for a frequency count of the correctly spoken
> 'fairy,' I want the frequency calculation for 'fairy' to be 0, thus
> ignoring the word in the target. Further, I'd also like to run for lemmas
> and not morphological changes. In other words, if I'm looking for "stair,"
> I want 'stairs' to be counted in the frequency of 'stair' usage.
>
> *Detail:*
>
> When I run the command:
>
> *freq **-sm** -sm@* **+sCinderella +sstair +sfairy*
>
> on the attached transcript [completely made up, by the way], it evaluates
> the %mor line but doesn't ignore the target [: target] words like I thought
> it would. It does do the correct job in tagging 'stair' even though the
> participant said 'stairs,' a correct usage from the %mor line. Output of
> frequency for this command was:
> Cinderella: 1
> stair: 1
> fairy: 1
>
> However, as I said, I wouldn't want the incorrect furry [: fairy] to
> count. So, I tried:
>
> *freq -sm** -sm@* +t*PAR +sCinderella +sstair +sfairy*
>
> Now that I've told CLAN to stick to the speaker tier, it then ignores
> 'stair' because 'stairs' was written, which isn't what we were going for.
> However, it correctly does not look within the [: target] and correctly
> states that 'fairy' was said 0 times. As an added point, I've also found
> that when I run the above command on transcripts, it sometimes gets the
> counts incorrect. For this command, I get the count:
> Cinderella: 1
> stair: 0
> fairy: 0
>
> So basically, is there any way to tell CLAN to run the analysis on the
> %mor tier for frequencies of words [specifically, lemmas], but somehow to
> specify to ignore [: target] words on the speaker tier?
>
> In an ideal world, from the attached transcript, I'd be getting the
> frequency counts as:
> Cinderella: 1
> stair: 1
> fairy: 0
>
> Thank you very much,
>
> Brie
>
> --
> *Brielle Stark, PhD*
> Post Doctoral Fellow in Communication Sciences and Disorders, University
> of South Carolina
> t: +1 803-777-9240 <(803)%20777-9240>, alternate email:
> stark2 at mailbox.sc.edu
> Aphasia Lab: http://web.asph.sc.edu/aphasia/
> Center for the Study of Aphasia Recovery: http://web.asph.sc.edu/cstar/
>
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