TTR differences between EVAL and FREQ

[Veronica Fletcher]

 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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