accurate utterance and turn counts taking into account linguistic, verbal, and non-verbal contributi

[A Cristia]

Dear Chibolters,

We would like to have separate counts for both utterances and turns, taking 
into account linguistic, verbal, and non-verbal contributions. For example:

*CHI: 0. 
%act: points to a cookie
*MOT: okay .
*CHI: &baba .
*MOT: go for it .
*CHI: baby .

We see in this example:
- 3 turns by the child: 1 non-verbal (pointing), 1 verbal non-linguistic 
(&baba), and 1 linguistic (baby); 
- 2 utterances by the child (because utterances cannot be non-verbal): 1 
verbal non-linguistic (&baba), and 1 linguistic (baby)

MLT on the sample above yields 3 utterances and 3 turns. If we MOR it and 
MLU the output, then we find 1 utterance. Is there a simple way to extract 
the other subtypes? Or should we add by hand codes such as:

*CHI: 0. [- verbal]
%act: points to a cookie
%trn: $TUR
*MOT: okay .
*CHI: &baba .
*MOT: go for it .
*CHI: baby . 

To exclude non-verbal turns from MLT:
> MLT -s"[- verbal]"  @    
mlt -s"[- verbal]" @
Fri Oct 30 09:57:59 2015
mlt (17-Apr-2015) is conducting analyses on:
  ALL speaker tiers
****************************************
>From file </Users/alejandrastein/Desktop/prueba.cha>
MLT for Speaker: *CHI:
  MLT (xxx, yyy and www are EXCLUDED from the word counts, but are INCLUDED 
in utterance counts):
    Number of: utterances = 2, turns = 2, words = 1
Ratio of words over turns = 0.500
Ratio of utterances over turns = 1.000
Ratio of words over utterances = 0.500

To count only non-verbal turns:
> keymap +b$TUR* +t%trn  @   
keymap +b$tur* +t%trn @
Fri Oct 30 09:59:12 2015
keymap (17-Apr-2015) is conducting analyses on:
  ALL speaker tiers
and those speakers' ONLY dependent tiers matching: %TRN;
****************************************
>From file </Users/alejandrastein/Desktop/prueba.cha>
Speaker *CHI:
  Key word "$tur" found 1 time

Incidentally, the CLAN manual does refer to non-verbal turns twice; on p. 
34:

*5.4 MLT Analysis *

*The third analysis we will perform is to compute MLT (Mean Length of Turn) 
for both child and mother. Note that, unlike the MLU program, the CLAN 
program MLT includes the symbols xxx and yyy in all counts. Thus, 
utterances that consist of only unintelligible vocal material still 
constitute turns, as do nonverbal turns indicated by the postcode [+ trn] 
as illustrated in the following example: *



**CHI: 0.[+ trn] %gpx: CHI points to picture in book *

*We can use a single command to run our complete analysis and put all the 
results into a single file. *


*mlt *.cha > allmlt.cex *


However, as far as we can see, with or without [+ trn] one gets the same 
results using the example provided in the manual (**CHI: 0.[+ trn]*):

*WITH TRN*

> mlt  @
mlt @
Fri Nov 13 09:37:51 2015
mlt (09-Sep-2015) is conducting analyses on:
  ALL speaker tiers
****************************************
>From file </Users/acristia/Dropbox/ANR_argentina/transcriptions/test.cha>
MLT for Speaker: *CHI:
  MLT (xxx, yyy and www are EXCLUDED from the word counts, but are INCLUDED 
in utterance counts):
    Number of: utterances = 1, turns = 1, words = 0
    Ratio of words over turns = 0.000
    Ratio of utterances over turns = 1.000
    Ratio of words over utterances = 0.000


*WITHOUT TRN (i.e., I removed [+ trn] from **0.[+ trn]*)

> mlt  @
mlt @
Fri Nov 13 09:38:32 2015
mlt (09-Sep-2015) is conducting analyses on:
  ALL speaker tiers
****************************************
>From file </Users/acristia/Dropbox/ANR_argentina/transcriptions/test.cha>
MLT for Speaker: *CHI:
  MLT (xxx, yyy and www are EXCLUDED from the word counts, but are INCLUDED 
in utterance counts):
    Number of: utterances = 1, turns = 1, words = 0
    Ratio of words over turns = 0.000
    Ratio of utterances over turns = 1.000
    Ratio of words over utterances = 0.000


Thank you all in advance for your help,
Alex Cristia

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