TTR differences between EVAL and FREQ

[Veronica Fletcher]

Thank you!

On Fri, Mar 14, 2025 at 4:48 PM Leonid Spektor <spektor at andrew.cmu.edu>
wrote:

> Hi Veronica,
>
> I forgot that EVAL counts lemmas and FREQ count full words.
>
> If you want FREQ to produce the same result as EVAL, then use (+sm;*,o%)
> option to count only lemmas, command:
>
> freq +sm;*,o%
>
>
> Leonid.
>
> On Mar 14, 2025, at 16:36, Leonid Spektor <spektor at andrew.cmu.edu> wrote:
>
>
> If EVAL FREQ_types are different from FREQ Types 166 to 204, but both EVAL
> FREQ_tokens and FREQ Tokens are the same 596, then I will need a small
> sample of your data that show the difference and the command lines you used
> for both EVAL and FREQ to figure this out. Please send those directly to me
> at spektor at andrew.cmu.edu.
>
>
> Leonid.
>
> On Mar 14, 2025, at 15:44, Veronica Fletcher <
> veronica.n.fletcher at gmail.com> wrote:
>
> Hi Leonid,
> Thanks for your response. I re-ran the file using FREQ on the %mor tier.
> This resolved the issue with # Tokens. However, I am still receiving a
> higher Types count with freq +t%mor (204) compared to EVAL (166). Any
> thoughts? Updated numbers below.
>
> FREQ_types (from EVAL): 166
> FREQ_tokens (from EVAL): 596
> Types (from FREQ %mor): 204
> Tokens (from FREQ %mor): 596
> Types (from FREQ): 189
> Tokens (from FREQ): 593
>
> Veronica
> On Friday, March 14, 2025 at 3:23:20 PM UTC-4 Leonid Spektor wrote:
>
>> Hi Veronica,
>>
>> EVAL counts words on %mor tier and default FREQ command counts words on
>> speaker tier. If your data has a lot of contractions words, then numbers
>> will be different. For example, word (can't) will counted by FREQ as 1
>> word. But, because on %mor tier this word is represented as (can) and (not)
>> EVAL will count it as 2 words.
>>
>> You can see the difference if you run FREQ command on %mor tier. For
>> example, command "freq +t%mor ..."
>>
>>
>> Leonid.
>>
>> On Mar 14, 2025, at 15:06, Veronica Fletcher <veronica.... at gmail.com>
>> wrote:
>>
>> Hi all,
>> Our lab is noticing that we receive different Type and Token output
>> values, depending on whether our transcripts are run through EVAL (which I
>> believe uses FREQ counts to calculate TTR?) versus run directly through the
>> FREQ command.
>>
>> Here is some sample data from Transcript A.  The same file was used for
>> both analyses:
>> FREQ_types (from EVAL): 166
>> FREQ_tokens (from EVAL): 596
>> Types (from FREQ): 189
>> Tokens (from FREQ): 593
>>
>> What could be accounting for these differences? Apologies if this is a
>> silly question - I could not find anything in the CLAN manual that would
>> explain this.
>>
>> Veronica
>> The Aphasia Network Lab, Northeastern University
>>
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>>
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